Certification

Enroll Here: Getting started with Microservices with Istio and IBM Cloud Kubernetes Service Cognitive Class Exam Quiz Answers

Introduction to Getting started with Microservices with Istio and IBM Cloud Kubernetes Service

Getting started with microservices using Istio and IBM Cloud Kubernetes Service (IKS) is a powerful way to leverage cloud-native technologies for building scalable and resilient applications. Istio, as a service mesh, provides a robust framework for managing microservices communication, security, and observability.

Here’s an introductory guide to help you get started:

1. Understanding Microservices and Istio

• Microservices Architecture: Microservices are an architectural style where applications are composed of small, independent services that communicate over well-defined APIs.
• Istio: Istio is an open-source service mesh that provides traffic management, security, observability, and policy enforcement for microservices.

2. Setting up IBM Cloud Kubernetes Service (IKS)

• Sign up for IBM Cloud: If you haven’t already, sign up for IBM Cloud at ibm.com/cloud.
• Create a Kubernetes Cluster: Use IBM Cloud Console to create a Kubernetes cluster using IBM Cloud Kubernetes Service. Follow the documentation and tutorials provided by IBM Cloud to set up your cluster.

3. Installing Istio on Kubernetes

• Download Istio: Download the Istio release from istio.io.
• Install Istio: Follow the Istio installation instructions to install Istio on your Kubernetes cluster. This typically involves deploying custom resource definitions and Istio components using Kubernetes manifests provided by Istio.

4. Deploying Microservices

• Develop Microservices: Develop your microservices using your preferred programming languages and frameworks (e.g., Java/Spring Boot, Node.js/Express, Python/Flask).
• Containerize Microservices: Containerize your microservices using Docker. Write Dockerfiles for each microservice to define its dependencies and build instructions.
• Deploy to Kubernetes: Deploy your containerized microservices to your IBM Cloud Kubernetes Service cluster. Use Kubernetes manifests (YAML files) to define deployments, services, and ingress rules.

5. Configuring Istio for Microservices

• Traffic Management: Use Istio to manage traffic between microservices. Define traffic routing rules, set up load balancing, and implement canary deployments.
• Security: Enable Istio’s security features like mTLS (mutual TLS) authentication between services, and implement access control policies.
• Observability: Leverage Istio’s observability tools such as Grafana for metrics, Jaeger for distributed tracing, and Kiali for visualizing service mesh topology.

6. Monitoring and Scaling

• Monitoring: Set up monitoring and alerting for your microservices and Istio components using IBM Cloud Monitoring or other monitoring tools integrated with Istio.
• Scaling: Configure horizontal pod autoscaling (HPA) for your microservices based on metrics like CPU utilization or incoming request rate.

7. Continuous Integration and Deployment (CI/CD)

• CI/CD Pipeline: Implement a CI/CD pipeline to automate the build, test, and deployment of microservices on Kubernetes with Istio. Use tools like Jenkins, GitLab CI/CD, or IBM Cloud Continuous Delivery.

8. Best Practices and Optimization

• Best Practices: Follow best practices for microservices architecture, Kubernetes deployments, and Istio configuration to ensure scalability, resilience, and security.
• Optimization: Continuously optimize your microservices and Istio configurations based on performance metrics and user feedback.

9. Resources and Further Learning

• Documentation: Refer to IBM Cloud and Istio documentation for detailed guides, tutorials, and best practices.
• Community Support: Engage with the Kubernetes and Istio communities for support, tips, and best practices.

By following these steps, you can begin exploring the capabilities of microservices with Istio on IBM Cloud Kubernetes Service, empowering you to build modern, scalable applications efficiently.

Getting started with Microservices with Istio and IBM Cloud Kubernetes Service Cognitive Class Certification Answers

Twelve Factors App Quiz Answers

Question 1: The 12-factor app methodology minimizes divergence among development and production, enabling continuous deployment for maximum agility.

• True
• False

Question 2: Disposability refers to which of these concepts?

• An app runs as one or more stateless processes that share nothing and assumes process memory is transient.
• Apps are built in distinct stages (build, release, run).
• Processes start fast and shut down gracefully, which means that processors should start almost instantaneously.
• Developers treat logs as event streams: the outer/hosting environment deals with processing and routing log files.

Question 3: According to the twelve-factor app methodology, where should you store configuration information?

• In the environment
• In the code
• In the server where you deploy the code
• In the properties files

Question 4: When you are trying to build a scalable, distributed, cloud-ready app, you should run that app as one or more stateless processes.

• True
• False

Microservices Quiz Answers

Question 1: For a simple change, monolithic apps take a long time to get the updated app redeployed.

• True
• False

Question 2: Select the three benefits of implementing a microservices architecture.

• Different parts of a development team can manage individual parts of a microservice.
• You’ll see less service interruption for fast-paced cloud computing.
• A suite of services can be deployed and upgraded without a rebuild of other functioning services.
• If one component fails, it will all fail.

Question 3: Which principle is exemplified by this statement? “Microservices are an app architectural style that divides an app into components where each component is a full but miniature app that’s focused on producing a single business task.”

• The Single Business Task principle
• The Single Responsibility principle
• The Multiple Component principle
• The Microservices principle

Question 4: Agile development methods helped make microservice design and implementation possible.

• True
• False

Application Architecture Evolution Quiz Answers

Question 1: The SOA stack had to string together sequences of services as business processes that were themselves macroservices.

• True
• False

Question 2: A microservice app must have a well-defined interface and well-defined dependencies.

• True
• False

Question 3: What problems do you typically encounter when you develop monolithic apps? Select all that apply.

• No one person can maintain a vertical slice of an app.
• Developer challenges are with DevOps, management views, and controls.
• Developers spend a lot of time in meetings deciding how the layers of code should work together.
• A change in one layer usually broke the layers above it.

Question 4: You can use IBM Cloud Kubernetes Service to repackage monolithic apps into containers.

• True
• False

Microservices Component Architecture Quiz Answers

Question 1: The number of business services that you implement for an app depends on what types of clients the app supports and how specialized those clients require their dispatchers to be.

• True
• False

Question 2: In this course, BFF refers to which concept?

• Best friend forever
• Back for front
• Backend for frontend
• Backend first failure

Question 3: You should separate the database access layer into its own service.

• True
• False

Question 4: It’s more efficient and effective to have one team write all or multiple dispatchers while someone else implements the client apps.

• True
• False

Microservice Integration Quiz Answers

Question 1: You should not mix and match synchronous and asynchronous communication.

• True
• False

Question 2: By using asynchronous communication, you can make microservices more robust. Which of these actions is not used in asynchronous communication?

• A different requester instance can handle the response.
• The requester, provider, and messages must keep working through the lifetime of the invocation.
• The messaging system holds the action and result.
• The requester doesn’t need to block while the provider runs.

Question 3: Which of these methods help with complete decoupling of microservice intercommunication?

• Service registry or service discovery
• Load balancing
• Circuit breaker patterns
• All of these

Question 4: The public VLAN determines the public IP address that is assigned to a worker node during cluster creation.

• True
• False

Service Mash Quiz Answers

Question 1: In monolithic apps, the location of resources are well known, relatively static, and found in configuration files or hard coded.

• True
• False

Question 2: A service registry is used to keep track of the code and health of services.

• True
• False

Question 3: Which of the following common functions are provided by service mesh implementation like Istio? Select all that apply.

• Automated testing
• Service registry
• Service discovery
• Service proxy

Question 4: Client-side discovery uses a load balancer to query the service registry and direct a request to the appropriate service instance.

• True
• False

Istio: An Intelligent Service Mesh for Microservices Quiz Answers

Question 1: You add Istio support to services by deploying a special sidecar proxy throughout your environment that intercepts all logs among microservices.

• True
• False

Question 2: Which source projects were the basis for Istio?

• IBM’s Amalgam8 project
• Google’s Service Control
• Lyft’s Envoy proxy
• All of these

Question 3: Istio is an open platform service mesh implementation for connecting, managing, and securing microservices.

• True
• False

Question 4: Select the three benefits of implementing a microservices architecture.

• Different parts of a development team can manage individual parts of a microservice.
• You’ll see less service interruption for fast-paced cloud computing.
• A suite of services can be deployed and upgraded without a rebuild of other functioning services.
• If one component fails, everything fails.

Getting started with Microservices with Istio and IBM Cloud Kubernetes Service Final Exam Answers

Question 1: Which component is responsible for collecting telemetry data from the Envoy proxy and other services?

• Citadel
• Kubernetes container
• Mixer
• Pilot

Question 2: What is the core Istio component that is used for traffic management and configuration of all Envoy instances deployed in an Istio service mesh?

• Mixer
• Citadel
• Pilot
• None of these

Question 3: Which of these twelve-factor app methodologies ties into agile software delivery, continuous integration, and continuous deployment concepts, and minimizing incompatibility?

• Admin processes
• Dependencies
• Development and production parity
• Build, release, run

Question 4: Which of these principles when they’re applied to developing microservices can make developers more efficient? Select all that apply.

• Creating well-defined interfaces that are independently deployed
• Managing one large app that does everything
• Operating in small teams with each team owning the entire lifecycle of the service
• Reducing an app into single-function modules

Question 5: You can’t roll back a microservice deployment to a specified version within IBM Cloud Kubernetes Service.

• True
• False

Question 6: 12-factor apps should be scaled up via vertical scaling.

• True
• False

Question 7: The aim of a microservice architecture is to completely link app components to one another so that they can be maintained, scaled, and more.

• True
• False

Question 8: What are the two key tenets of a microservice architecture?

• Services are optimized for multiple functions.
• Communication is done through REST API and message brokers.
• Continuous integration and continuous deployment (CI/CD) are defined per service.
• Business functions are packaged as a single monolith app.

Question 9: Microservices scale and fail interdependently.

• True
• False

Question 10: Which functions enable each service to find and connect with the other services it needs to do its work?

• Sidecar
• Service discovery
• Service registry
• Circuit breaker

Question 11: The Istio service mesh is logically split into which two parts?

• Control plane
• Network plane
• Data plane
• Infrastructure plane

Question 12: The data plane is composed of a set of intelligent proxies deployed as sidecars that mediate and control all security among microservices.

• True
• False

Question 13: The control plane manages and configures proxies to route traffic and to enforce policies at runtime

• True
• False

Question 14: What are the main features of Citadel?

• Service-to-service and end-user authentication using mutual TLS
• Identity management
• Logging management
• Credential management

Question 15: Istio authentication includes key management.

• True
• False

Enroll Here: Creating and Publishing Online Courses with Skills Network Cognitive Class Exam Quiz Answers

Introduction to Creating and Publishing Online Courses with Skills Network

Creating and publishing online courses with Skills Network can be a rewarding experience, whether you’re sharing your expertise or looking to educate others on a particular subject. Skills Network offers a platform where you can reach a global audience and make a meaningful impact through your courses. Here’s a step-by-step introduction to getting started:

1. Choose Your Topic: Select a subject that you are knowledgeable and passionate about. It could be anything from programming languages to digital marketing strategies or even personal development skills.
2. Plan Your Course Structure: Outline the modules and lessons you want to include in your course. Break down the content into manageable sections with clear learning objectives for each.
3. Create Compelling Content: Develop high-quality content that engages learners. This could include video lectures, presentations, quizzes, assignments, and downloadable resources. Ensure your content is informative, interactive, and well-paced.
4. Record and Edit Your Materials: Use appropriate tools and equipment to record your lectures and presentations. Edit your videos to enhance clarity and quality. Pay attention to audio quality and visual presentation.
5. Optimize for Online Learning: Design your course with online learners in mind. Incorporate multimedia elements, interactive quizzes, and discussion forums to enhance engagement and comprehension.
6. Set Up Your Course on Skills Network: Sign up as an instructor on Skills Network and follow their guidelines for course creation. Upload your content, set pricing (if applicable), and configure any settings related to course accessibility and promotion.
7. Promote Your Course: Once your course is live, promote it through social media, email marketing, and other channels. Encourage satisfied learners to leave reviews and testimonials to build credibility.
8. Engage with Your Learners: Interact with your students through discussion forums, Q&A sessions, or live webinars. Address their questions and provide additional resources to enrich their learning experience.
9. Monitor Performance: Track the progress of your course and analyze learner feedback. Use this information to improve future iterations of your course and to enhance your teaching methods.
10. Update and Expand: Continuously update your course content to reflect new developments in your field. Consider creating advanced courses or expanding into related topics based on learner demand.

By following these steps, you can effectively create and publish online courses with Skills Network, making a valuable contribution to online education while potentially earning income from your expertise.

Creating and Publishing Online Courses with Skills Network Cognitive Class Certification Answers

Module 1 – Introduction to Skills Network and Author Workbench Quiz Answers

Question 1: At which step in the course creation process do you test your course before publishing?

• Support and maintain
• Develop content
• Release and publish
• Research and design

Question 2: A/An ________ is needed to create an Author Workbench and Skills Network Studio account.

• Company ID
• Author Workbench account
• IBMid
• Gitlab account

Question 3: Where do you work with sections, subsections, and units?

• The Backup Server
• The GitLab Project
• The Author Workbench
• The Skills Network Studio

Question 4: The best way to avoid copyright issues is to:

• Use stock images
• Use free or open-source content
• Use licensed content
• Create original content

Question 5: Each learning portal on the Skills Network:

• Can be accessed by one company only
• Is independent of the Skills Asset Catalog
• Must use IBM branding
• Is completely independent

Question 6: When authoring, the GitLab repository is directly accessed through:

• The Development Server
• The Author Workbench
• The Course Catalog
• The GitLab Project

Question 7: The 5-5-5 methodology:

• Is only used for technical courses
• Is a proven instructional design tool
• Defines a number of courses about a specific subject
• Must be strictly followed

Question 8: True or false? All free or open-source content can be used to create commercial content.

• True
• False

Question 9: In GitLab, the place where you store and maintain code is known as the:

• Server
• Repository
• Studio
• Sandbox

Question 10: The basic steps in the process of creating a course in Skills Network are:

• Research and design, develop content, release and publish, support and maintain
• Research and design, support and maintain, develop content, release and publish
• Support and maintain, release and publish, develop content, research and design
• Release and publish, support and maintain, develop content, research and design

Module 2 – Building the Outline Using Skills Network Studio Quiz Answers

Question 1: Which category of the course outline is viewed by leaners as a single page?

• A component
• A unit
• A subsection
• A section

Question 2: What best describes a subsection?

• A section is divided into subsections which are also called as modules.
• A subsection contains the actual course content.
• A subsection represents a topic in your course or instructional material to be delivered in a week.
• A subsection is created in the course outline to represent a chapter or time period, like week one or week two.

Question 3: The HTML components are used to _______.

• embed a reading that needs to be frequently updated
• integrate ungraded exercises and tools
• embed a lengthy reading
• add and format texts, links, and images

Question 4: Which type of reading highlights the key concepts and terminologies that have been learned?

• Learning objectives
• Lesson-specific
• Module summary
• General information

Question 5: Why is it recommended to upload videos to more than one hosting site?

• Learners’ Internet connections vary widely.
• Videos should be available for both download and streaming.
• Not all hosting sites are available in all countries or regions.
• The hosting site might have to handle high-volume traffic.

Question 6: What advanced options can you set for a video in the video component?

• Transcript languages and video length
• Transcript languages and video start time
• Video ID and show transcript
• Video ID and transcript languages

Question 7: In which format do you upload the transcript when adding it to a video?

• .wav
• .gif
• .srt
• .png

Question 8: According to general guidelines for creating videos, a video should be ______.

• 5 to 7 minutes long, less than 5 GB in size, and in .mp4 format.
• 5 to 10 minutes long, less than 5 GB in size, and in .mp4 format
• 5 to 7 minutes long, less than 4 GB in size, and in .mp4 format
• 5 to 10 minutes long, less than 5 GB in size, and in .wav format

Question 9: How can you create perceivable content?

• By including multiple assessments
• By providing text alternatives for non-text content
• By organizing information in a logical manner
• By writing in clear, straightforward language

Question 10: Which is one of the principles of Universal Design for Learning?

• Provide multiple ways for learners to engage with information and demonstrate their knowledge.
• Design several custom content types so that your course content is accessible to all learners.
• Use a high level of contrast between text and the background, so that the content can be seen by more learners.
• Evaluate third-party content for accessibility issues prior to sharing it with your learners.

Module 3 – Adding Media and Links Quiz Answers

Question 1: Where do you add advanced exercise or tool?

• A section
• A unit
• A subsection
• A component

Question 2: To add content from outside the course, you follow the steps?

• Select Content, then select Files & Uploads, then select Web option in Copy URLs, paste the external content.
• Select Files & Uploads, then select Content, then select Studio option in Copy URLs, paste the web URL in external content.
• Select Content, then select Files & Uploads, then select Web option in Copy URLs, paste the web URL in external content.
• Select Files & Uploads, then select Content, then select Web option in Copy URLs, paste the web URL in external content.

Question 3: How do you separate list of keys in advanced exercise or tool?

• You use an ampersand (&) to separate list of keys.
• You use an exclamation mark (!) to separate list of keys.
• You use a dollar sign ($) to separate list of keys.
• You use a comma (,) to separate list of keys.

Question 4: Discussion components are powerful tools for online learning as they create a sense of ________________ in the virtual world.

• Safe space
• Community
• Rivalry
• Challenge

Question 5: Every learner can read and respond to which type of discussion topics?

• Content-wide discussion topics
• Interest-wide discussion topics
• Course-wide discussion topics
• Subject-wide discussion topics

Question 6: Content-specific discussion topics are discussions that appear in a specific __________ in your course.

• Topic
• Unit
• Sub-section
• Section

Question 7: True or false? In general, it is a best practice to have an HTML component in the unit alongside the Discussion component to give learners context for the discussion.

• True
• False

Question 8: There are two different methods to embed labs, one is Embed with LTI the other is Embed with ____________

• Embed with Advanced Components
• Embed with iFrame too.
• Embed with JSON data
• Embed with custom coding

Question 9: What is the first step in embedding a lab with LTI?

• Configure your course to support LTI credentials
• Retrieve the LTI credentials from Author Workbench
• Generate an LTI credentials from Author Workbench
• Adding an LTI component to your course

Question 10: The first step in embedding a lab with the iframe tool is adding a / an _____________ component

• raw HTML
• iFrame
• Advanced
• Third party

Module 4 – Working with Assessments and Grading Quiz Answers

Question 1: You can expand the initial set of core problem types by ________.

• importing external exercises and tools
• adding additional exercises and tools
• enabling additional exercises and tools
• custom coding additional exercises and tools

Question 2: Which is an advanced option for a multiple-choice problem?

• Present the same set of choices to each learner
• Add feedback for the correct answer
• Change the order of answers in the problem
• Configure any number of hints

Question 3: In open-response assessments, assignments can include ________.

• a Javascript tool
• multiple rubrics
• a staff-assessment step
• a Python scripts

Question 4: Which is an advantage of Open Learning XML (OLX)?

• OLX allows content creation only inside Studio
• OLX allows proprietary encoding
• OLX allows no human readable code
• OLX allows code portability

Question 5: Which of the following are the settings for problem components?

• Minimum Attempts, Problem Weight, Randomization
• Maximum Attempts, Problem Type, Randomization
• Maximum Attempts, Problem Weight, Randomization
• Maximum Attempts, Problem Points, Randomization

Question 6: While establishing a grading policy, it is essential that you _________.

• add advanced problem types to a unit
• define the assignment type for a subsection
• add common problem types to a unit
• define the assignment type for a section

Question 7: In Studio, while setting the grade range, you can ________.

• change the score range, change the name of all grades, and remove grades F and A
• change the score range, change the name F or fail, and remove a grade (except F, A, or pass)
• change the score range, change the name of all grades except F, and remove a grade except F, A or Pass
• change the score range, change the name of all grades, and remove any grade

Question 8: How can you add re-attempts in the final exam?

• By selecting the Advanced tab in the settings wheel
• By adding a new subsection under Final Exam and creating a new unit in this subsection.
• By adding a new problem under Add New Component
• By configuring re-attempts in the Assignment Type Name Field

Question 9: Which of the following best characterizes graded subsections?

• Problems within a subsection are weighted as different types.
• Assignment types and due dates are set at the subsection level.
• Problems within a subsection are graded as different types.
• The score range is changed at the subsection level.

Question 10: Which update can you make in the final exam?

• Allow learners to opt for taking the final exam as ungraded
• Allow learners one hour to take the final exam by making the final exam timed
• Allow learners three re-attempts for the final exam
• Allow learners two hours to take the exam by making the final exam timed

Module 5 – Publishing and Maintaining Your Course Quiz Answers

Question 1: What best describes course description?

• It is a not more than 150 words paragraph and appears on the course About page under the heading “About this course”.
• It is a bullet list written in not more than 150 words and appears on the course About page under the heading “About this course”.
• It is a 100-word bullet list that appears on the course About page under the heading “Short Description”.
• It is a 200-word paragraph that appears on the course About page under the heading “Long Description”.

Question 2: What is mandatory to include in your author profile?

• Title, an image, and Facebook URL
• An image, a short biography, and Twitter URL
• Title, an image, and a short biography
• Title, a short biography, and blog URL

Question 3: Which features of Facebook make it an effective medium for promoting your course?

• Professional network, discussion forum and comments
• Newsfeed, posts, and links to articles
• Discussion forum, newsfeed and likes
• Newsfeed, reactions, and comments

Question 4: What best characterizes an About video?

• It explains the grading policy
• It describes the content of the course
• It explains navigation of the course
• It explains the assessments in the course

Question 5: Publishing a course involves_______?

• Publishing components and subsections and selecting releases statuses of units
• Publishing units and selecting release statuses of sections and components
• Publishing units and selecting release statuses of sections and subsections
• Publishing sections and subsections and selecting release statuses of units

Question 6: Under what condition can learners see content in the section If a section’s release date has passed?

• If the unit has draft status and its release date has passed
• If release date of the subsection has passed
• If the unit is visible to staff only
• If release date of subsection is unscheduled

Question 7: Members of the discussion team can seed discussions topics in course wide discussion topics to __________

• Encourage leaners to add posts and responses.
• Encourage leaners to vote for posts and responses.
• Help leaners find the best discussion topic
• Help leaners participate in longer threaded discussion topics.

Question 8: In which way can you support your course leaners who experience personal emergencies, technical problems, and other issues?

• Provide modified assessments
• Allow droppable assignments
• Provide hints in assignments
• Provide peer support

Question 9: Updating your course content involves?

• Changing design and changing software applications
• Fixing errors and refreshing content
• Changing design and changing assessments
• Fixing errors and changing assessments

Question 10: Which indicators suggest the need for updating your course?

• Assessment results, lack of learner participation, and feedback from leaners
• New learning management system, assessment results, and unanticipated system failure
• New technological advancements, missing videos from external sources, and feedback from learners
• New authoring tools, new course team, and feedback from leaners

Creating and Publishing Online Courses with Skills Network Final Exam Answers

Question 1: Publishing a unit makes the current version of the unit ___________ to learners.

• Graded
• Hidden
• Available
• Unavailable

Question 2: Why is it advised that a module should not have more than 7 videos?

• Technical issues arise when hosting more than 7 videos
• Hosting requirements prohibit more than 7 videos
• More than 7 videos may overwhelm the learner
• Development time is unnecessarily long for 7 videos

Question 3: What is the structure of a course outline?

• Units, Subsections, Sections
• Subsections, Units, Sections
• Sections, Units, Subsections
• Sections, Subsections, Units

Question 4: The _____ highlights the key topics in the module and summarizes concepts and skills that have been learned.

• Lesson specific readings
• Module introduction
• Module summary
• General information

Question 5: WCAG stands for?

• Web Content Accessibility Guild
• Web Creation Accessibility Guidelines
• Web compression Adaptability Guidelines
• Web Content Accessibility Guidelines

Question 6: H.264 and .mp4 are examples of video ________?

• Size
• Bit rate
• Codecs
• Aspect ratio

Question 7: What information can you add to the video component?

• The Codec, the video ID, the transcript
• A display name, start time, the transcript
• A display name, the video ID, the transcript
• A display name, the video ID, dimension

Question 8: Where do you add advanced exercises or tools?

• At a course level
• At a unit level
• At a subsection level
• At a section level

Question 9: _________________ are discussions that appear in a specific unit in your course.

• Content-wide discussion topics
• Course-wide discussion topics
• Content-specific discussion topics
• Course-specific discussion topic

Question 10: The LTI Passport is composed of which of the following three components?

• Client ID, client key, client secret
• LTI ID, LTI key, client secret
• LTI ID, client key, client secret
• LTI ID, client key, client passport

Question 11: Multiple choice, checkbox problem, dropdown problem, numerical input problem and text input problem are all examples of ___________ problem types?

• Compound
• Common
• Complex
• Advanced

Question 12: In Studio you can change which of the following values?

• The score colors, the name of the grade, change F or Fail
• The score range, the name of the grade, and remove a grade
• The score colors, the name of the grade, and remove a grade
• The score range, the name of the grade, change F or Fail

Enroll Here: Robots are coming! Build IoT apps with Watson, Swift, and Node-RED Cognitive Class Exam Quiz Answers

Introduction to Robots are coming! Build IoT apps with Watson, Swift, and Node-RED

Building IoT applications involves integrating various technologies to create systems that collect, process, and act on data from connected devices. In this course, we’ll explore how to leverage Watson IoT Platform, Swift programming language, and Node-RED to develop powerful IoT applications.

Watson IoT Platform

Watson IoT Platform serves as the backbone for managing and connecting IoT devices securely. It provides capabilities for device registration, data visualization, real-time analytics, and integration with other IBM Watson services. Understanding how to utilize Watson IoT Platform is crucial for developing scalable and reliable IoT solutions.

Swift Programming Language

Swift is a modern programming language developed by Apple, known for its safety, speed, and expressiveness. In the context of IoT, Swift can be used to build applications for iOS devices that interact with IoT sensors and actuators. We’ll explore how to use Swift to create interfaces and logic for IoT applications.

Node-RED

Node-RED is a flow-based development tool that provides a visual programming environment for wiring together devices, APIs, and online services. It simplifies the integration process by using a browser-based editor to create flows of events. Node-RED is particularly useful for rapid prototyping and deploying IoT applications without deep programming knowledge.

By the end of this course, you will have the skills to design, develop, and deploy IoT applications using a combination of Watson IoT Platform, Swift, and Node-RED. Whether you’re a developer looking to expand into IoT or an IoT enthusiast wanting to build practical applications, this course will provide you with the foundational knowledge and hands-on experience needed to succeed in the rapidly growing field of IoT development.

Robots are coming! Build IoT apps with Watson, Swift, and Node-RED Cognitive Class Certification Answers

Lab 1: Read Temperature Data from an IoT Sensor Quiz Answers

Question 1: In Lab 1, what is the main purpose of the Internet of Things Platform Starter?

• To provide a boilerplate application in Node-RED
• To facilitate communication between the Node-RED instance running on the Raspberry Pi and the instance running on IBM Cloud
• To send data from an iOS device to Twitter
• To create a Cloudant database

Question 2: In Lab 1, where exactly does the Swift UI get the temperature data from?

• Directly from the temperature senson device
• From a node in the Node-RED flow
• From the Cloudant database
• From the IoT QuickStart

Question 3: What imported library is required for you to do CRUD operations on the Cloudant database in IBM Cloud?

• SwiftDBCloudant
• CloudantSwift
• SwiftyDB
• SwiftCloudant

Question 4: In Lab 1, why did you need two Node-RED flows?

• To get sensor data (flow 1) and then to send it to IBM Cloud (flow 2)
• To set up a Cloudant database (flow 1) and then send it IBM Cloud (flow 2)
• To get sensor data (flow 1) and then send it to the IoT Platform QuickStart (flow 2)
• None of these

Question 5: In which Node-RED node do you initially enter a device ID? In this lab, the device ID is from the virtual temperature sensor.

• IBM IoT App Out
• msg.payload
• IBM IoT App In
• GetCPUtemp

Lab 2: Add a Camera and Analyze Images Quiz Answers

Question 1: How is Watson Visual Recognition used by the Raspberry Pi in an IoT environment?

• Pictures taken by the Raspberry Pi camera are sent in bulk to the cloud and matched against existing pictures.
• Pictures taken by the Raspberry Pi camera are matched against existing pictures on the Raspberry Pi. The result is communicated to the cloud.
• Single pictures taken by the Raspberry Pi camera are sent to the cloud and processed by the deep learning network trained on existing pictures.
• Pictures taken by the Raspberry Pi camera are minimized on the Raspberry Pi before being sent to the cloud for comparison with existing pictures.

Question 2: The Visual Recognition service uses machine learning to recognize and classify visual content.

• True
• False

Question 3: MQTT cannot be used to pass data through firewalls.

• True
• False

Question 4: What action does the following Swift code perform?

  DispatchQueue.main.asyncAfter(deadline: .now() + .seconds(10), execute: {

            // Put your code which should be executed with a delay here

            NSLog(“Read doc: 10 sec”)

            self.imageFromDb.image = self.fetchedImage as UIImage

        })

• Updates the Cloudant database with a new picture
• Shows a picture on a mobile device
• Creates buttons in your mobile UI
• Sends a picture to the Visual Recognition service

Question 5: In Node-RED, output nodes have the logo on the left side of the node.

• True
• False

Lab 3: Connect Your App to an iRobot and Smartphone Quiz Answers

Question 1: Which one of the following SDKs helps to simplify how you use cognitive services with Swift applications?

• Text-to-speech-swift
• Watson-Developer-Cloud SDK for iOS
• SwiftyJSON SDK
• IBM Cloud Services SDK for iOS

Question 2: What’s the purpose of the WeatherData.swift file?

• Adds the encoding for the network
• Connects the Text to Speech service to the iRobot
• Manages the connectivity to the Text to Speech service
• Manages the connectivity to the Weather Company Data service

Question 3: The Watson IoT Platform starter automatically deploys and connects which of these services. Select all that apply.

• Watson IoT Platform
• Weather Company Data service
• IBM SDK for Node.js for IBM Cloud
• IBM Cloudant for IBM Cloud

Question 4: To manipulate JSON, you added which framework to the XCode project?

• SpeechToTextV1.framework
• RestKit.framework
• SwiftyJSON.framework
• BMSCore.framework

Question 5: What additional data can you find in the Weather Data JSON?

• Conditions for playing golf
• Conditions for skating
• Conditions for hiking
• Conditions for swimming
• Conditions for running

Robots are coming! Build IoT apps with Watson, Swift, and Node-RED Final Exam Answers

Question 1: Which of the following data types can be be sent from an IoT sensor to the cloud for further processing? Select all that apply.

• Temperature
• Humidity
• Air pressure
• Seismometer data
• Text

Question 2: What is the lightweight protocol that is used for communication between a Raspberry Pi device and a cloud application?

• TCP/IP
• HTTP
• MQTT
• MSP

Question 3: Which Watson services can you use to build a voice user interface to access IoT devices?

• Speech to Text
• Real-time Audio conversion
• Text to Speech
• Voice routing over the Internet

Question 4: You typically need to install a node package to get Cloudant database nodes in Node-RED.

• True
• False

Question 5: How does BM Watson Visual Recognition determine what’s in an image?

• By analyzing the file names of images
• By deciding what categories the image and the parts of an image fall into
• By reading what users post on social media about an image
• By querying the user who ted the image

Question 6: In this course, how did you connect the Raspberry PI to the iRobot?

• MQTT
• The iRobot serial port
• HTTP
• ICMP

Question 7: IBM Cloudant is an example of which of the following service types? Select all that apply.

• MBaaS
• PaaS
• SaaS
• DBaaS

Question 8:  What action does the following code perform?

iotfSession.send(BEEP_MSG.data(using: String.Encoding.utf8, allowLossyConversion: false),

         topic: CMD_TOPIC,

         qos: MQTTQosLevel.exactlyOnce,

         retain: false)

• Sends a dock command to the iRobot
• Specifies what encoding to use
• Sends a command over an MQTT connection
• Sends a command to a smartphone

Question 9: What method can you use to extend the functionality of Raspbian Jessie?

• npm
• Configure it with apt-get commands
• Download nodes from the Node-RED community
• CocoaPods

Question 10: You can store pictures from a camera or from the Internet by using a Cloudant database.

• True
• False

Enroll Here: How to Create and Publish Guided Projects and Hands-on Labs Cognitive Class Exam Quiz Answers

Introduction to How to Create and Publish Guided Projects and Hands-on Labs

Creating and publishing guided projects and hands-on labs is a great way to share knowledge and facilitate learning experiences for others. Whether you’re aiming to teach a specific skill, demonstrate a concept, or provide practical experience, a well-structured guided project can be incredibly valuable. Here’s a structured introduction on how to create and publish these educational resources:

1. Define Your Learning Objective

• Purpose: Clearly define what learners should be able to do or understand by completing your guided project.
• Audience: Identify your target audience (beginners, intermediate, advanced learners) to tailor the content appropriately.

2. Choose a Topic

• Relevance: Select a topic that is relevant and interesting to your audience.
• Scope: Define the scope of the project to ensure it’s manageable and focused.

3. Outline the Steps

• Breakdown: Divide the project into clear, sequential steps or modules.
• Detail: Provide sufficient detail in each step to guide learners effectively.

4. Gather Resources

• Materials: Collect all necessary resources, including tools, software, datasets, etc.
• References: Compile references and additional reading materials for learners who want to delve deeper.

5. Create Content

• Instructional Content: Write clear and concise instructions for each step.
• Visuals: Include diagrams, screenshots, or videos to clarify complex concepts.
• Code Snippets: If applicable, provide code snippets or templates to facilitate learning.

6. Hands-on Practice

• Exercises: Integrate practical exercises or challenges to reinforce learning.
• Feedback: Offer solutions or hints for learners to validate their understanding.

7. Review and Refine

• Testing: Test your guided project with a small group to identify any confusing or unclear sections.
• Feedback: Gather feedback and refine your content based on suggestions.

8. Publishing

• Platform: Choose a platform to host your guided project (e.g., GitHub, educational websites).
• Documentation: Provide clear documentation on how to access and use your project.
• License: Decide on a licensing model for sharing your work (e.g., open-source, creative commons).

9. Promotion and Community Engagement

• Sharing: Share your project in relevant communities, forums, or social media platforms.
• Support: Offer support to learners who have questions or encounter issues.

10. Iterate Based on Feedback

• Continuous Improvement: Continuously update and improve your guided project based on user feedback and evolving technologies.

Creating and publishing guided projects and hands-on labs requires careful planning, clear communication, and a passion for sharing knowledge. By following these steps, you can create impactful learning experiences that benefit your audience and contribute to the broader educational community.

How to Create and Publish Guided Projects and Hands-on Labs Cognitive Class Certification Answers

Module 1 – Overviews of Labs and Projects Quiz Answers

Question 1: While a course builds a foundation of knowledge on which the learner can acquire new concepts, a guided project provides an experience where the learner can _____.

• Focus on demonstrations and video lectures
• Focus on presentations and video lectures
• Practice new skills in a simulation of a real-world environment
• Develop their skills in a real-world environment

Question 2: True or false? You can point students or employees to a guided project when they need to build a specific skill before they start using a live production environment.

• True
• False

Question 3: The ______________work area is where you can view your published content and get the public URLs to share content.

• Skills Network Labs
• Asset Library
• Studio
• GitLab Project

Question 4: Which feature in Author Workbench automates the process of launching, updating, and maintaining your content?

• Synchronous delivery
• Guided projects
• Get started
• Continuous delivery

Question 5: Which statement accurately describes a Learning Tools Interoperability (LTI) hands-on lab?

• LTI generates stand-alone content for your guided project or course.
• LTI labs are useful when you want the learner to work in a tool.
• LTI labs are best for displaying content only.
• An LTI lab requires learners to log in to a tool.

Question 6: What are the six main parts, in order, of a well-crafted hands-on lab?

• Title, Welcome, Goals, Instructions, Practice Quizzes, and Wrap-up
• Title, Welcome, Instructions, Goals, Exercises, and Wrap-up
• Title, Welcome, Goals, Instructions, Exercises, and Next Steps
• Welcome, Title, Goals, Instructions, Lab, and Next Steps

Question 7: Where is the best place to provide a hands-on lab?

• Between a quiz and a module summary
• Between a reading and a quiz in the same module
• Between a summary and the next module introduction
• Between a video and a reading that cover the same process

Question 8: Design a guided project when the focus is on the _________________ of knowledge and skills and the goal is to complete a task that results in a ________________ practical solution.

• Distribution, Streamlined
• Application, Simple
• Application, Real-world
• Transmission, Simple

Question 9: When building skills in a guided project, which type of learner would benefit most from a challenge that requires context and analytical thinking to test their skills in a safe environment?

• Advanced
• Beginner
• Intermediate
• Novice

Question 10: Which of the following is a good practice when writing steps in a guided project?

• Confirm that each step includes a presentation of concepts.
• Provide more detail in each successive step than in the previous step, increasing the length and the complexity of each step as the project progresses.
• Provide a list of required reading materials in a step to ensure fair understanding of the context.
• Provide context for the purpose of each step by explaining how it relates to the other steps, the task results, and the real-world applications.

Module 2 – Labs and Project Basics Quiz Answers

Question 1: Where would you create details to represent your project in the course catalog?

• Instructions file
• Guided Projects page
• Create a Guided Project page
• Courses page

Question 2: The _____ is where you can view your published content, where you can copy HTML links for your reviewers, and where you can get the public share links.

• GitLab Repository
• Project page
• Asset Library
• Gitlab Project

Question 3: The Skills Network workflow uses a _____, which automates the workflow.

• Continuous upload pipeline
• Publishing content pipeline
• Continuous delivery pipeline
• Work-focused pipeline

Question 4: Your GitLab Project contains a repository of files that Author Workbench has created for you. Which file within this repository is for running your continuous delivery pipeline?

• Image.png
• README.md
• .gitlab-ci.yml
• Instructions.md

Question 5: To allow others to access the project files in your GitLab Project in Author Workbench, where can you add them to the project staff?

• Skills Network accounts
• GitLab Project
• Project page
• Asset Library

Question 6: The _____ are the body of your project and explain what the activity is for, what skills and know-how it requires, and how to complete the task.

• Tasks
• Definitions
• Instructions
• Guidelines

Question 7: Learning objectives should include which of the following?

• A static verb to begin the learning objective
• A general concept that allows the learner to decide what to do
• A brief overview of the high points of the task
• Demonstrable goals and measurable results

Question 8: What should you do to allow contributors to make changes in the project files?

• Add them to the lab environment
• Add them to the project staff
• Create Studio accounts for them
• Provide them with URLs from HTML files

Question 9: When you work in the Asset Library, what should you do to make edits to a file?

• Access Studio and edit the file there.
• Access your project page and edit the file there.
• Access GitLab Project and edit the file there.
• Open the file and make the edits in the Asset Library.

Question 10: What is key to ensuring quality in your project content?

• Similarity
• Compatibility
• Consistency
• Continuous delivery

Module 3 – Creating Guided Labs and Projects using Skills Network Tools Quiz Answers

Question 1: Which Skills Network Labs environment has a version with Docker?

• CV Studio
• RStudio IDE
• Cloud IDE
• Datasette

Question 2: Which environment or tool would be the best choice for creating an exercise where the learner practices making predictions to detect objects?

• JupyterLab
• RStudio IDE
• CV Studio
• Cloud IDE

Question 3: To create a hands-on lab where learners can explore many kinds of databases while getting experience with structured query language (SQL), which tool or environment would be the best choice?

• Cloud IDE with OpenShift
• RStudio IDE
• Datasette
• JupyterLab

Question 4: Which feature would work best for adding hints when you create a hands-on lab in JupyterLab?

• Code cells
• Markdown cells
• Kernels
• Notebook

Question 5: Which type of JupyterLab feature contains the.ipynb extension?

• Image
• Notebook
• Table
• Kernel

Question 6: Which version of Cloud IDE would you choose to create a hands-on lab that contains activities where the learner can practice deploying a cloud application using a dashboard?

• Cloud IDE with Kubernetes
• Cloud IDE with OpenShift
• Cloud IDE with Docker
• Cloud IDE Basic

Question 7: What is the purpose of the Skills Network Toolbox?

• Authenticating accounts such as GitHub in Cloud IDE
• Launching programs in Cloud IDE
• Selecting Author Workbench work spaces in Cloud IDE
• Launching predictions in Cloud IDE

Question 8: Which type of lab would be a good choice for creating opportunities for the learner to practice visualizing trends in statistics?

• Cloud IDE with Docker
• RStudio IDE
• Cloud IDE Basic
• CV Studio

Question 9: What best characterizes Skills Network Labs?

• A cloud-based virtual lab catalog for hands-on labs and guided projects
• A cloud-based virtual lab environment in Author Workbench
• A cloud-based virtual lab environment with real-world tools
• A cloud-based development environment for creating instructional labs

Question 10: Which step in creating a CV Studio lab may involve using a feature from JupyterLab?

• Selecting a version with Docker
• Training a model
• Launching an interactive website
• Creating levels for navigation

Module 4 – Embedding and Publishing Labs in Online Courses Quiz Answers

Question 1: At which level in Studio can you organize content into topics?

• Component
• Unit
• Subsection
• Section

Question 2: Which of the following statements correctly describes hands-on labs and guided projects that you create in Skills Network Author Workbench?

• LTI credentials are required to embed hands-on labs in Studio.
• Guided projects and hands-on labs are embedded in LTI subsections.
• Hands-on labs are embedded in guided projects.
• Guided projects are embedded in hands-on labs.

Question 3: How do you embed an instructional lab in a course outline in Studio?

• Create an advanced component
• Create a subsection with a default assignment type
• Paste the iframe code from the Asset Library into an HTML component
• Configure LTI credentials in the course settings

Question 4: An LTI passport is a text string for ______.

• Streaming and authentication
• Logging in and authentication {The LTI passport is a text string for logging in and authentication.}}
• Logging in and setting grading
• Localizing and authentication

Question 5: As part of your updating strategy, you may need to update content to address changes in regulatory requirements, fixes for technical glitches, and ______________________.

• Urgency
• Timing
• Trends in frequently asked questions
• Tape storage

Question 6: Which factors determine when you need to update content?

• Schedule, technology, and expense
• Severity, time, and effort
• Strategy, time, and expense
• Severity, trends, and effort

Question 7: What is the framework for all graded assignments in the guided project?

• Grading foundation
• Grading policy
• Graded subsection
• Assignment type

Question 8: How would you change the default grading settings to add a new assignment type that counts toward grading?

• Change another assignment type to Not Graded to maintain 100% total weight
• Set the number of subsections for the new assignment type
• Change the scale from pass-fail to assignment types
• Create one or more problem components with the new assignment type

Question 9: What is key to maintaining content?

• Uploading
• Updating
• Degrading
• Organizing

Question 10: What feature can you add in Studio to keep the learner on track?

• Certificate
• Feedback
• Assignment type
• Grading

How to Create and Publish Guided Projects and Hands-on Labs Final Exam Answer

Question 1: What should you provide to create a well-crafted hands-on lab?

• Title, Welcome, Goals, Instructions, Practice Quizzes, and Wrap-up
• Title, Welcome, Instructions, Goals, Exercises, and Wrap-up
• Title, Welcome, Goals, Instructions, Exercises, and Next Steps
• Welcome, Title, Goals, Instructions, Lab, and Next Steps

Question 2: When you design a guided project, the focus is on the _________________ of knowledge and skills and the goal is to complete a task that results in a ________________ practical solution.

• Distribution, Streamlined
• Application, Simple
• Application, Real-world
• Transmission, Simple

Question 3: Which of the following is a good practice when you write steps in a guided project?

• Confirm that each step includes a presentation of concepts.
• Provide more detail in each successive step than in the previous step, increasing the length and the complexity of each step as the project progresses.
• Provide a list of required reading materials in a step to ensure fair understanding of the context.
• Provide context for the purpose of each step by explaining how it relates to the other steps, the task results, and the real-world applications.

Question 4. The _____ are the body of your project and explain what the activity is for, what skills and know-how it requires, and how to complete the task.

• Tasks
• Definitions
• Instructions
• Guidelines

Question 5: Learning objectives should provide which of the following?

• A static verb to begin the learning objective
• A general concept that allows the learner to decide what to do
• A brief overview of the high points of the task
• Demonstrable goals and measurable results

Question 6: What is key to ensuring quality in your project content?

• Similarity
• Compatibility
• Consistency
• Continuous delivery

Question 7: When you are creating a hands-on lab where learners can explore many kinds of databases while getting experience with structured query language (SQL), which tool or environment would be the best choice?

• Cloud IDE with OpenShift
• RStudio IDE
• Datasette
• JupyterLab

Question 8: Which type of lab would be a good choice when you are creating opportunities for the learner to practice visualizing trends in statistics?

• Cloud IDE with Docker
• RStudio IDE
• Cloud IDE Basic
• CV Studio

Question 9: Skills Network Labs is _____.

• A cloud-based virtual lab catalog for hands-on labs and guided projects
• A cloud-based virtual lab environment in Author Workbench
• A cloud-based virtual lab environment with real-world tools
• A cloud-based development environment for creating instructional labs

Question 10: How do you embed an instructional lab in a course outline in Studio?

• Create an advanced component
• Create a subsection with a default assignment type
• Paste the iframe code from the Asset Library into an HTML component
• Configure LTI credentials in the course settings

Question 11: Which factors determine when you need to update content?

• Schedule, technology, and expense
• Severity, time, and effort
• Strategy, time, and expense
• Severity, trends, and effort

Question 12: Which advanced feature should you add in Studio to keep the learner on track?

• Certificate {{Refer to the Overview of Skills Network Studio
• Feedback
• Assignment type
• Grading

Enroll Here: Beyond the Basics: Istio and IBM Cloud Kubernetes Service Cognitive Class Exam Quiz Answers

Introduction to Beyond the Basics: Istio and IBM Cloud Kubernetes Service

“Beyond the Basics: Istio and IBM Cloud Kubernetes Service” delves into advanced concepts and practical applications of Istio within the IBM Cloud Kubernetes Service (IKS) environment. This session is designed for those familiar with Kubernetes and Istio fundamentals, aiming to deepen their understanding and proficiency.

Key Topics Covered:

1. Istio Overview: Recap of Istio’s role in managing microservices and enhancing observability, security, and traffic management.
2. IBM Cloud Kubernetes Service: Overview of IKS and its integration capabilities with Istio for seamless deployment and management.
3. Advanced Istio Features: Exploration of advanced Istio features such as circuit breaking, fault injection, and traffic shifting for sophisticated microservices management.
4. Best Practices and Use Cases: Practical guidance on deploying Istio on IKS, optimizing configurations, and leveraging Istio for specific use cases like A/B testing and canary deployments.
5. Performance and Observability: Strategies for monitoring and optimizing Istio’s performance within the IBM Cloud Kubernetes environment, including telemetry and logging.
6. Security Considerations: Insights into Istio’s security features and best practices for securing microservices and their communications in IBM Cloud Kubernetes.

Target Audience:

• Developers: Seeking to enhance their skills in managing microservices with Istio on IBM Cloud Kubernetes Service.
• DevOps Engineers: Interested in implementing advanced traffic management and observability strategies using Istio.
• Architects: Looking to design scalable and secure microservices architectures leveraging Istio and IBM Cloud Kubernetes.

Conclusion:

By the end of “Beyond the Basics: Istio and IBM Cloud Kubernetes Service,” attendees will gain a comprehensive understanding of how to leverage Istio’s advanced capabilities within the IBM Cloud Kubernetes ecosystem, empowering them to build resilient, scalable, and secure microservices applications.

Beyond the Basics: Istio and IBM Cloud Kubernetes Service Cognitive Class Certification Answers

Lab 1 – Observe Service Telemetry Quiz Answers

Question 1: You must modify your apps to get metrics for those apps.

• True
• False

Question 2: You must modify your apps to get distributed tracing for those apps to work properly.

• True
• False

Question 3: What distributed tracing system does Istio support by default?

• Zipkin
• Kibana
• LogStash
• Jaeger

Question 4: In a SOA architecture that uses tradtional debugging techniques, as requests pass through multiple services, identifying performance bottlenecks becomes increasingly difficult.

• True
• False

Lab 2 – Expose the Service Mesh with Istio Ingress Controller Quiz Answers

Question 1: The components deployed on the service mesh by default are not exposed outside the cluster.

• True
• False

Question 2: In a Kubernetes environment, Istio uses what component to configure ingress behavior?

• Microservices Ingress controller
• Kubernetes Ingress Resources
• Cloud Ingress Resources
• Resource controller

Question 3: Ingress can provide load balancing, SSL termination, and name-based virtual hosting.

• True
• False

Question 4: What is an ingress?

• A collection of services
• A collection of pods
• A collection of rules
• A collection of clusters

Lab 3 – Manage Traffic Quiz Answers

Question 1: Where are routing rules defined?

• VirtualService
• VirtualRule
• DestinationRule
• ServiceEntry

Question 2: Where are service versions (subsets) defined?

• VirtualService
• DestinationRule
• ServiceEntry
• DestinationService

Question 3: Which Istio component is responsible for sending traffic management configurations to Istio sidecars?

• Mixer
• Citadel
• Pilot
• Kubernetes

Question 4: A ServiceEntry rule describes which of the following three items?

• Ports
• Traffic policies
• Endpoints
• Protocols

Lab 4 – Secure Your Service Quiz Answers

Question 1: Citadel provides each microservice with a strong, cryptographic identity in the form of a certificate. The certificate’s lifecycle is fully managed by Istio.

• True
• False

Question 2: Istio provides microservices with mutually authenticated connections without requiring app code changes.

• True
• False

Question 3: Mutual authentication must be on or off for the entire cluster; gradual adoption is not possible.

• True
• False

Question 4: Citadel is not directly responsible for which one of these items?

• Provides each service with an identity representing its role
• Provides connections to exchange and validate certificates
• Provides a common trust root to allow Envoys to validate and authenticate each other
• Provides a key management system, automating generation, distribution, and rotation of certificates and keys

Lab 5 – Enforce Policies for Microservices Quiz Answers

Question 1: Creating Mixer rules requires app code changes.

• True
• False

Question 2: What is the name of the custom code that interacts with the back-end system, such as Prometheus?

• Rule
• Instance
• Adapter
• Service

Question 3: Istio Mixer moves policy decisions under operator control rather than into configuration.

• True
• False

Question 4: Mixer is not responsible for interfacing with the back-end systems.

• True
• False

Beyond the Basics: Istio and IBM Cloud Kubernetes Service Final Exam Answers

Question 1: What is a service mesh?

• One or more containers
• A group of nodes
• A network of microservices
• A type of authentication system

Question 2: Which of these features is provided by Istio? Select all the apply.

• Traffic management
• Telemetry
• Policy enforcement
• Machine learning
• Mutual TLS
• App monetization

Question 3: Microservices that are deployed in Istio can communicate to services outside of Istio.

• True
• False

Question 4: Which Istio function normally requires users to modify their applications?

• Traffic management
• Metrics
• Distributed tracing
• Policy enforcement

Question 5: Which Istio component is always required even when you install only certain Istio features?

• Mixer
• Pilot
• Citadel
• Istioctl

Question 6: Which Istio component is part of the Istio service mesh data plane?

• Mixer
• Pilot
• Citadel
• Envoy sidecar

Question 7: Which Istio features allow you to configure per namespace?

• Policy enforcement
• Traffic management
• Authentication policy
• Telemetry

Question 8: To use Istio, a service must run in Kubernetes.

• True
• False

Question 9: What’s the purpose of a sidecar container in Kubernetes?

• It’s a container with Istio installed.
• It’s utility container in a pod.
• It helps to speed up the cluster run time.
• None of these

Question 10: What Istio component primarily manages telemetry?

• Pilot
• Istio Citadel
• Mixer
• Istio data plane

Question 11: What is an Envoy?

• A web server
• A sidecar proxy
• A pod
• None of these

Question 12: What component is primarily responsible for traffic management?

• Pilot
• Mixer
• Istio Citadel
• Security

Question 13: A VirtualService defines policies that apply to traffic intended for a service after routing has occurred.

• True
• False

Question 14: ServiceEntry configuration enables services within the mesh to access a service not necessarily managed by Istio.

• True
• False

Question 15: A/B testing is a method of performing identical tests against two separate service versions to determine which performs better.

• True
• False

Question 16: Telemetry in Istio can help you to pinpoint latency problems in microservices.

• True
• False

Question 17: What is the default sidecar proxy in istio?

• GINX
• Envoy
• HAProxy
• Pilot

Question 18: With what Istio component can you use to write custom adapters for tracing and metrics?

• Citadel
• Mixer
• Pilot
• Envoy

Question 19: Istio can secure the communication between microservices without requiring app code changes.

• True
• False

Question 20: In this course, what is an ingress?

• A collection of services
• A collection of rules that allow inbound connections to reach the cluster services
• A pathway to bypass disabled services
• None of these

Enroll Here: MapReduce and YARN Cognitive Class Exam Quiz Answers

Introduction to MapReduce and YARN

MapReduce and YARN are fundamental components of Apache Hadoop, designed to handle the processing and management of large datasets in a distributed computing environment. Here’s an introduction to each:

MapReduce:

MapReduce is a programming model and framework for processing and generating large datasets in parallel across a distributed cluster of compute nodes.

Key Components:

• Mapper: Executes the “map” task, which processes input data and generates key-value pairs.
• Reducer: Executes the “reduce” task, which processes the output of the mapper to produce final output.

Workflow:

1. Map Phase: Input data is divided into chunks and processed by mapper tasks in parallel.
2. Shuffle and Sort: Intermediate outputs from mappers are shuffled and sorted by keys across the cluster.
3. Reduce Phase: Reducer tasks aggregate the intermediate data based on keys and produce the final output.

Advantages:

• Scalability: Scales efficiently with more nodes added to the cluster.
• Fault-tolerance: Handles node failures by re-executing failed tasks on other nodes.
• Simplifies parallel processing: Abstracts away the complexity of managing distributed computing.

YARN (Yet Another Resource Negotiator):

YARN is the resource management layer of Hadoop that manages resources and schedules tasks across the cluster.

Key Components:

• ResourceManager: Manages resources across the cluster, allocates resources to applications.
• NodeManager: Runs on each node, manages resources (CPU, memory) on the node, and executes tasks.

Capabilities:

• Resource Allocation: Allocates resources (CPU, memory) to various applications running on the cluster.
• Application Scheduling: Handles scheduling of tasks and monitors their execution.
• Fault-tolerance: Recovers from failures and ensures continuous operation.

Advantages:

• Supports diverse workloads: Allows multiple applications to run on the same cluster simultaneously.
• Efficient resource utilization: Optimizes resource allocation based on application requirements.
• Scalability: Scales to large clusters and supports thousands of nodes.

Integration with Hadoop Ecosystem:

• MapReduce jobs are managed and executed by YARN, which allocates resources to individual tasks.
• Together, MapReduce and YARN form the core processing and resource management framework of Apache Hadoop.

In summary, MapReduce provides the programming model for distributed data processing, while YARN manages resources and schedules tasks across the Hadoop cluster, enabling efficient and scalable data processing and analysis.

MapReduce and YARN Cognitive Class Certification Answers

Module 1: Introduction to MapReduce and YARN Quiz Answers

Question 1: Which phase of MapReduce is optional?

• Shuffle
• Reduce
• Combiner
• Map

Question 2: Which node is responsible for assigning (key, value) pairs to different reducers?

• Shuffle node
• Reducer node
• Combiner node
• Mapper node

Question 3: Where are the output files of the Reducer task stored?

• A data warehouse
• Hadoop FS
• Within the Reducer node
• Linux FS

Module 2: Limitations of Hadoop v1 & MapReduce v1 Quiz Answers

Question 1: What is an issue or limitation of the original MapReduce v1 paradigm?

• It’s not scalable
• It only has one TaskTracker
• It only supports Parquet file types
• It only has one JobTracker

Question 2: How is YARN an improvement over the MapReduce v1 paradigm?

• It’s completely open source
• It splits the JobTracker into two processes: ResourceManager and ApplicationManager
• It reduces multi-tenancy to improve performance
• It splits the TaskTracker into two processes: ResourceManager and ApplicationManager

Question 3: Existing applications can run on YARN without recompilation. True or False?

• True
• False

Module 3: The Architecture of YARN Quiz Answers

Question 1: The main change from Hadoop v1 to Hadoop v2 was the consolidation of both resource management and job processing. True or False?

• True
• False

Question 2: The NodeManager is a more generic and efficient version of the TaskTracker. True or False?

• True
• False

Question 3: A new ApplicationMaster is launched for each job and ends when the job completes. True or False?

• True
• False

MapReduce and YARN Final Exam Answers

Question 1: Which of the following is the correct sequence of MapReduce flow?

• Reduce —> Combine —> Map
• Combine —> Reduce —> Map
• Map —> Reduce —> Combine
• Map —> Combine —> Reduce

Question 2: Which of the following can be used to control the number of part files in a MapReduce program’s output directory?

• Shuffle parameters
• Number of Reducers
• Counter
• Number of Mappers

Question 3: Which of the following operations will work improperly when using a Combiner?

• Average
• Maximum
• Count
• Minimum

Question 4: Which of the following is true about MapReduce?

• Compression of input files is optional.
• Output from the Map phase is replicated.
• The programmer must write the Map code, the Shuffle code, and the Reduce code.
• MapReduce programs must be written in Java.

Question 5: Input data to MapReduce is record-oriented and blocks of data contain the same number of full records. True or False?

• False.
• True.

Question 6: Which statement is true about the Reduce phase of MapReduce?

• Output results are sent to the client program.
• Data arrives from the Shuffle phase already sorted by key.
• The Reducer phase sums up the values associated with each key.
• Each Reduce task processes all the data for one key only.

Question 7: Which statement is true about the Reduce phase of MapReduce?

• Containers are used instead of slots in MRv1, and can be used with either Map or Reduce tasks in MRv2.
• There is one JobTracker in the cluster.
• MapReduce jobs written in Java for MRv1 never require recompilation.
• Each job has an ApplicationManager that obtains Container IDs from the NodeManager.

Question 8: With YARN, long-running jobs acquire and retain fixed-size containers before execution starts. True or False?

• False.
• True.

Question 9: Which of the following statements is true?

• The NameNode in Hadoop 2 is fully fault-tolerant, whereas in Hadoop 1 it was a single point of failure.
• The NodeManager in Hadoop 2 replaces the TaskTracker in Hadoop 1.
• YARN requires a minimum of two nodes, one master and one slave, to run
• Both MapReduce and YARN can scale to any cluster size

Question 10: The command athhadoop provides the CLASSPATH needed for compiling Java programs written for MapReduce or YARN. True or False?

• False.
• True.

Question 11: Which statement is true about MapReduce’s use of replication in HDFS?

• Only one copy of each replicated block is processed by MapReduce in normal operation.
• Speculative execution is normally performed on all copies of each “split.”
• Each DataNode uses RAID to store its data.
• Multiple copies of each record are kept on each node.

Question 12: On which file system (FS) is the output of a Mapper task stored?

• Linux FS, and it is replicated 3 times.
• HDFS, and it is replicated 3 times.
• Linux FS, but it is not replicated.
• HDFS, but it is not replicated.

Question 13: Which of the following statements is true?

• You can set the number of Reducers.
• The Shuffle phase is optional.
• You can set the number of Mappers and the number of Reducers.
• The number of Combiners is the same as the number of Reducers.
• You can set the number of Mappers

Question 14: What will a Hadoop job do if you try to run it with an output directory that is already present?

• It will create new files, but with a different suffix.
• It will create another directory to store the output.
• It will erase all files in that directory before running.
• It will not run.

Question 15: What are the main components of the ResourceManager in YARN? Select two.

• Scheduler
• JobTracker
• DataManager
• HDFS
• ApplicationManager

Enroll Here: DataOps Methodology Cognitive Class Exam Quiz Answers

Introduction to DataOps Methodology

DataOps is a methodology that aims to improve the speed and accuracy of data analytics by emphasizing collaboration and automation across the data lifecycle. It draws inspiration from Agile development, DevOps practices, and lean manufacturing principles, tailored specifically for the needs of data-driven organizations.

Key Principles of DataOps:

1. Collaboration: DataOps promotes cross-functional teams where data engineers, data scientists, analysts, and business stakeholders work closely together. This collaboration ensures that everyone understands the business context and can contribute effectively to data projects.
2. Automation: Automation is central to DataOps. It involves using tools and scripts to automate repetitive tasks such as data cleaning, integration, testing, and deployment. Automation reduces manual errors, speeds up processes, and frees up resources for more strategic tasks.
3. Version Control: Similar to software development, DataOps emphasizes version control for data pipelines and analytical models. This allows teams to track changes, revert to previous versions if needed, and maintain a reliable history of data transformations.
4. Continuous Integration and Delivery (CI/CD): DataOps borrows CI/CD practices from DevOps to ensure that changes to data pipelines and models can be tested and deployed rapidly and reliably. This agility is crucial in responding to changing business requirements.
5. Monitoring and Logging: DataOps involves robust monitoring and logging of data pipelines and workflows. This helps teams proactively identify issues, monitor performance metrics, and ensure data quality and reliability.
6. Security and Compliance: DataOps incorporates security and compliance measures throughout the data lifecycle. This includes access controls, encryption, and auditing to protect sensitive data and ensure regulatory compliance.

Benefits of DataOps:

• Faster Time-to-Insight: By automating and streamlining processes, DataOps reduces the time it takes to go from raw data to actionable insights.
• Improved Data Quality: Automation and monitoring help maintain data quality standards throughout the data pipeline.
• Enhanced Collaboration: Cross-functional teams and transparent workflows foster collaboration between data teams and business stakeholders.
• Scalability: DataOps practices enable organizations to scale their data operations efficiently as data volumes and complexity grow.
• Agility: By adopting CI/CD practices, DataOps enables rapid iteration and adaptation to changing business needs.

Implementing DataOps:

Implementing DataOps requires a cultural shift towards collaboration and automation, supported by the right tools and technologies. Key steps include defining clear processes, selecting appropriate tools for automation, fostering a collaborative culture, and continuously iterating and improving based on feedback and insights.

In summary, DataOps is a methodology that integrates people, processes, and technology to enable organizations to deliver high-quality data analytics and insights rapidly and efficiently. It addresses the challenges of managing and leveraging data in a dynamic and fast-paced business environment.

DataOps Methodology Cognitive Class Certification Answers

Module 1 – Establish DataOps Quiz Answers

Lesson 2 – Establish Data Strategy Quiz Answers

Question 1: Before we can put together a data strategy, we need to have a good understanding of the data available and how it is used in the organization.

• True
• False

Question 2: What is a data strategy?

• An architecture and actionable roadmap along with an action plan
• A competitive publication to show that our organization is modern
• A plan to move all legacy data systems to the cloud

Question 3: Implementing a data strategy should always result in cost savings in the year the plan is realized.

• True
• False

Question 4: Which of the following statements about Data Strategy are correct?

• Whatever the type of data, it should only include internally produced data
• All types of data – both structured and unstructured need to be considered
• Volumes of data have increased hugely, but are now starting to stabilize
• Only business executives should be consulted in putting together a strategy

Question 5: Data Governance is a key part of executing a data strategy.

• True
• False

Lesson 3 – Establish Team Quiz Answers

Question 1: A DataOps team consists of members mostly from IT departments.

• True
• False

Question 2: Which of the following roles are active team members of any DataOps team?

• Chief Technology Officer
• Chief Data Officer
• Data Engineer
• Database Administrator
• Data Steward
• Data Architect
• Data Scientist

Question 3: Creating and maintain business terms is a major responsibility of which following role?

• Data Engineer
• Data Quality Analyst
• Data Steward
• Data Scientist

Question 4: Only Chief Data Officer can update the KPIs for a data sprint.

• True
• False

Question 5: DataOps relies heavily on the use of automation, so that communication among team members is not necessary.

• True
• False

Module 2 – Establish DataOps-Optimize for Operation Quiz Answers

Lesson 1 – Establish Toolchain Quiz Answers

Question 1: DataOpstoolchain helps you deliver quality data slowly.

• True
• False

Question 2: DataOpsToolchain and DevOps are the same thing.

• True
• False

Question 3: DataOpsToolchain can work without DataOps API(s).

• True
• False

Question 4: What are the key components of DataOpsToolchain?

• Continuous Deployment
• Communication
• Source Control
• All of above

Question 5: Who is responsible for creating DataOpsToolchain? (Choose all that apply)

• Data Scientist
• Administrator
• DBA
• Data Engineer

Lesson 2 – Establish Baseline Quiz Answers

Question 1: Data Management is the same as Information Governance.

• True
• False

Question 2: What is the most costly result from an external influence to an organization?

• Data Breach Fines and Penalties
• Insurance Policy Payout
• Claim Settlement
• None of these

Question 3: Reference data is defined as data used as a permissible value within a data field.

• True
• False

Lesson 3 – Establish Business Priorities Quiz Answers

Question 1: Business Priority should be the primary focus when deciding what the DataOps team should do.

• True
• False

Question 2: What is a data backlog?

• A bottleneck in the data pipeline
• A list of all data sources
• A prioritized set of requirements expressed as data tasks
• A plan to move all data into a catalog

Question 3: A prioritized data backlog will reduce the time taken to start the next DataOps iteration.

• True
• False

Question 4: A Data Task should be prioritized by considering:

• The cost of providing the data
• The career advancement possibilities of solving business challenges
• The impact to sales from implementing the data pipeline
• All of the above

Question 5: KPIs are used to determine the progress and throughput of a DataOps data sprint.

• True
• False

Module 3 – Iterate Dataops – Know Your Data Quiz Answers

Lesson 1 – Discover Quiz Answers

Question 1: You will need someone on your team with detailed knowledge of the business processes you’re going to analyze so selected data elements are appropriate to reaching your objectives.

• True
• False

Question 2: What should you do if you identify gaps or mismatches in the data required for the analysis?

• Rethink how you will do the analysis with different data
• Create the missing data
• Find a new source for the missing or mismatched data
• All of the above

Question 3: You should trace the linage of data elements to be used for analysis to make sure they come from a trusted source.

• True
• False

Question 4: What is the primary objective of the Discover phase?

• Decide what the analytics team wants to have for lunch
• Identify and locate the specific data elements required to accomplish an analysis
• Uncover the meaning of data column headers and how they relate to the underlying data
• Gain an understanding of the business goals and KPIs of an analysis effort

Question 5: A Data Engineer who thoroughly understands where specific data resides, including the specific databases and files where each identified data element resides, should be involved in Data Discovery process.

• True
• False

Lesson 2 – Classify Quiz Answers

Question 1: Classification of each data element will make it easier going forward for users to distinguish the meaning and applicability of the data for their purposes.

• True
• False

Question 2: Which description best defines taxonomy?

• Organizing data elements into meaningful structures
• An IBM network protocol which reduces network latency
• The art of preparing, stuffing, and mounting the skins of animals with lifelike effect

Question 3: A single data element can be placed into an unlimited number of data domains.

• True
• False

Question 4: Which of the following is the objective of classification?

• To bring out points of similarity and dissimilarity among various groups
• To present data in a simple, logical and understandable form
• To condense the mass of data
• All of the above

Question 5: You should design workflows which are specific to the classification tool you are using.

• True
• False

Module 4 – Iterate Dataops Quiz Answers

Lesson 1 – Manage Qualities & Entities Quiz Answers

Question 1: Data quality is data accuracy.

• True
• False

Question 2: All data across the enterprise should have the same data quality.

• True
• False

Question 3: A data quality framework consists of which of the following 4 phases:

• Profile
• Define
• Remediate
• Monitor
• Assess
• Deploy

Question 4: When assessing data quality, you only need the data set containing the data, metadata is optional.

• True
• False

Lesson 2 – Manage Policies Quiz Answers

Question 1: How does data classification affect defining policies?

• Inheritance, retention and probabilities
• Protection, reporting and inheritance
• Protection, accessibility and retention
• Retention, deletion and storage

Question 2: What impact does a highly sensitive classification have on a policy definition?

• Require data anonymization, de-identification, and masking
• Limit access to the data and/or require data masking
• Limit access to the data and make it unprintable
• No impact

Question 3: What are the most common state, country or regional regulations affecting personal information?

• SIN, SSN and BAN
• FDIC, BCBS and SOX
• CCPA, GDPR and LGPD
• PCI, PII and PHI

Question 4: Once policies have been defined affecting the data, rules must be enforced to act.

• True
• False

Module 5 – Iterate Dataops – Use Your Data Quiz Answers

Lesson 1 – Self Service Quiz Answers

Question 1: Self Service of data is only possible when any data movement and transformation required to join multiple data assets have been performed.

• True
• False

Question 2: Self Service can use the following governance artefacts to refine a search in a catalog. (Choose all that apply)

• Data Protection Rules
• Business Terms
• Tags

Question 3: A data consumer should not be able to access data that has been identified as sensitive, where there is not a business need to do so.

• True
• False

Question 4: Which of the following statements about Self Service are correct?

• Data consumers typically do not know how to manipulate the data
• Data Protection rules prevent a data consumer from inadvertently seeing data that is sensitive
• Creating multiple catalogs can partition data assets by their content and anticipated audience
• A data consumer needs to know SQL to join multiple data assets

Question 5: Data Consumers provide valuable input to data scientists by clarifying the combination of data assets and how they need to be transformed, prior to data movement being designed and implemented.

• True
• False

Lesson 2 – Manage Movement & Integration Quiz Answers

Question 1: You should define the use case at the outset of a Data Movement and Integration project to support a “Build It and They Will Come” strategy.

• True
• False

Question 2: Which of the following does not represent a data integration pattern:

• Data virtualization
• Data replication
• Data lineage
• Message-oriented movement
• Bulk/batch

Question 3: Which of the following is not a Data Movement and Integration Job Design consideration?

• Design for reusability
• Deployment models (e.g. Containers, Kubernetes Orchestration, OpenShift)
• Design for parallel processing
• Everything should be programmed in Python
• Design for job portability (build once and run anywhere)

Question 4: Hand coding generally provides a 10X productivity gain over commercial data integration software tooling.

• True
• False

Question 5: Which of the following is not an example of a message queuing system?

• Kafka
• VSAM
• Microsoft Azure Queues
• GCP PubSub
• AWS Simple Queue Service
• MQ

Lesson 3 – Improve/Complete Quiz Answers

Question 1: DataOps is a completely new methodology and it doesn’t learn anything from agile and devOps.

• True
• False

Question 2: Data consumers can first start to provide feedback to the current data sprint in the stakeholder review meeting.

• True
• False

Question 3: Which of the following assets or artifacts could be found in catalog?

• Code
• Business terms
• Data rules
• Source data
• Data lineage

Question 4: All issues need to be remediated before moving on to the next data sprint.

• True
• False

Question 5: Completing a data sprint involves publishing governed artifacts and data assets to a production environment.

• True
• False

Module 6 – Improve Dataops Quiz Answers

Question 1: DataOps is a fixed process which should not be changed once defined.

• True
• False

Question 2: Improvements to the DataOps process could involve changes to

• Technology used in DataOps
• DataOps team roles and responsibilities
• Processes for ETL
• All of the above

Question 3: Reviewing the Data classification phase involves reviewing how accurate the data mappings to the business terms are.

• True
• False

Question 4: Reviewing the Establish Baseline Process should include reviewing how effective the processes are for establishing a baseline for –

• External Regulatory requirements
• Organization maturity and Readiness
• Governance and Oversight
• All of the above

Question 5: KPIs are key in determining the effectiveness of all parts of the DataOps process.

• True
• False

DataOps Methodology Final Exam Answers

Question 1: What is a data strategy?

• An architecture and actionable roadmap along with an action plan
• A competitive publication to show that our organization is modern
• A plan to move all legacy data systems to the cloud

Question 2: Which of the following statements about Data Strategy are correct?

• Whatever the type of data, it should only include internally produced data
• All types of data – both structured and unstructured need to be considered
• Volumes of data have increased hugely, but are now starting to stabilize
• Only business executives should be consulted in putting together a strategy

Question 3: Which of the following roles are active team members of any DataOps team?

• Chief Technology Officer
• Chief Data Officer
• Data Engineer
• Database Administrator
• Data Steward
• Data Architect
• Data Scientist

Question 4: Creating and maintaining business terms is a major responsibility of which following role?

• Data Engineer
• Data Quality Analyst
• Data Steward
• Data Scientist

Question 5: Business Priority should be the primary focus when deciding what the DataOps team should do.

• True
• False

Question 6: What is a data backlog?

• A bottleneck in the data pipeline
• A list of all data sources
• A prioritized set of requirements expressed as data tasks
• A plan to move all data into a catalog

Question 7: A Data Task should be prioritized by considering:

• The cost of providing the data
• The career advancement possibilities of solving business challenges
• The impact to sales from implementing the data pipeline
• All of the above

Question 8: KPIs are used to determine the progress and throughput of a DataOps data sprint.

• True
• False

Question 9: What are key components of DataOps toolchain?

• Continuous Deployment
• Communication
• Source Control
• All of above

Question 10: Who is responsible for creating DataOps toolchain? (Choose all that apply)

• Data Scientist
• Administrator
• DBA
• Data Engineer

Question 11: What is the primary objective of the Discover phase?

• Decide what the analytics team wants to have for lunch.
• Identify and locate the specific data elements required to accomplish an analysis
• Uncover the meaning of data column headers and how they relate to the underlying data.
• Gain an understanding of the business goals and KPIs of an analysis effort.

Question 12: Which description best defines taxonomy?

• Organizing data elements into meaningful structures.
• An IBM network protocol which reduces network latency.
• The art of preparing, stuffing, and mounting the skins of animals with lifelike effect.

Question 13: Which of the following is the objective of classification?

• To bring out points of similarity and dissimilarity among various groups.
• To present data in a simple, logical and understandable form.
• To condense the mass of data.
• All of the above

Question 14: A data quality framework consists of which of the following 4 phases:

• Profile
• Define
• Remediate
• Monitor
• Assess
• Deploy

Question 15: How does data classification affect defining policies?

• Inheritance, retention and probabilities
• Protection, reporting and inheritance
• Protection, accessibility and retention
• Retention, deletion and storage

Question 16: What impact does a highly sensitive classification have on a policy definition?

• Require data anonymization, de-identification, and masking
• Limit access to the data and/or require data masking
• Limit access to the data and make it unprintable
• No impact

Question 17: Self Service can use the following governance artefacts to refine a search in a catalog. (Choose all that apply)

• Data Protection Rules
• Business Terms
• Tags

Question 18: Which of the following statements about Self Service are correct?

• A data consumer needs to know SQL to join multiple data assets
• Data Protection rules prevent a data consumer from inadvertently seeing data that is sensitive
• Creating multiple catalogs can partition data assets by their content and anticipated audience
• Data consumers typically do not know how to manipulate the data

Question 19: Which of the following does not represent a data integration pattern:

• Data virtualization
• Data replication
• Data lineage
• Message-oriented movement
• Bulk/batch

Question 20: Which of the following is not a Data Movement and Integration Job Design consideration?

• Design for reusability
• Deployment models (e.g. containers, Kubernetes orchestration, OpenShift)
• Design for parallel processing
• Everything should be programmed in Python
• Design for job portability (build once and run anywhere)

Question 21: Data consumers can first start to provide feedback to the current data sprint in the stakeholder review meeting.

• True
• False

Question 22: Which of the following could be found in catalog?

• Code
• Business terms
• Data rules
• Source data
• Data lineage

Question 23: All issues need to be remediated before moving on to the next data sprint.

• True
• False

Question 24: Improvements to the DataOps process could involve changes to

• Technology used in DataOps
• DataOps team roles and responsibilities
• Processes for ETL
• All of the above

Question 25: Reviewing the Establish Baseline Process should include reviewing how effective are the processes for establishing a baseline for –

• External Regulatory requirements
• Organization maturity and Readiness
• Governance and Oversight
• All of the above

Enroll Here: Exploring Spark’s GraphX Cognitive Class Exam Quiz Answers

Introduction to Exploring Spark’s GraphX

Exploring Spark’s GraphX is an exciting journey into the world of graph processing within Apache Spark. GraphX is a powerful library that allows you to perform parallel computation on large-scale graphs directly within the Spark framework. Whether you’re analyzing social networks, financial transactions, or any other interconnected data, GraphX provides efficient tools for graph representation and computation.

Key Concepts in GraphX:

1. Graph Representation:
   • GraphX represents graphs as collections of vertices (nodes) and edges (connections between nodes). These can be any type of objects, allowing flexibility in data representation.
2. RDD-Based Graphs:
   • Under the hood, GraphX uses RDDs (Resilient Distributed Datasets), the fundamental data structure in Spark, to store and process graphs. This allows for distributed and fault-tolerant graph processing.
3. Vertex and Edge RDDs:
   • Vertex RDDs store information about each vertex in the graph.
   • Edge RDDs store information about each edge connecting vertices.
4. Graph Operators:
   • GraphX provides a rich set of operators for manipulating graphs, such as mapVertices, mapEdges, subgraph, and more. These operators allow you to transform graph structure and properties efficiently.
5. Graph Algorithms:
   • GraphX includes a variety of built-in graph algorithms, including PageRank, Connected Components, Triangle Counting, and more. These algorithms are optimized for distributed execution on large-scale datasets.
6. Integration with Spark’s Ecosystem:
   • GraphX seamlessly integrates with other Spark components, such as Spark SQL for data manipulation and MLlib for machine learning tasks. This integration enables comprehensive data analysis pipelines.

Getting Started:

To begin exploring GraphX, you typically follow these steps:

1. Data Loading:
   • Load your graph data into Spark, either from files (like CSV, JSON, etc.) or from other data sources compatible with Spark.
2. Graph Construction:
   • Construct a GraphX graph using the loaded vertex and edge RDDs.
3. Graph Processing:
   • Apply graph operators and algorithms to analyze and manipulate the graph according to your specific use case.
4. Analysis and Visualization:
   • Analyze the results of graph processing and visualize the graph structure or algorithm outputs as needed.

Conclusion:

Exploring Spark’s GraphX opens up a wide range of possibilities for scalable and efficient graph processing. Whether you’re a data scientist, analyst, or engineer, GraphX provides the tools to handle large-scale graph data and extract meaningful insights. It’s a valuable addition to Spark’s ecosystem, leveraging its strengths in distributed computing and data processing.

Exploring Spark’s GraphX Cognitive Class Certification Answers

Module 1 – Introduction to Graph Parallel Quiz Answers

Question 1: GraphX extends RDDs, which allows users to use GraphX as a collection, but not as a graph!

• True
• False

Question 2: Which of the following statements is true?

• Graph-Parallel is usually handled by Hadoop and Spark.
• Graph-Parallel focuses on distributing data across different nodes and systems.
• Data-Parallel is usually handled by Pregel, GraphLab and Giraph.
• Data-Parallel focuses on efficiently executing graph algorithms.
• None of the above

Question 3: GraphX unifies Data-Parallelism and Graph-Parallelism in one library.

• True
• False

Module 2 – Visualizing GraphX and Exploring Graph Operators Quiz Answers

Question 1: The “degree” operator returns a VertexRDD[Int] containing the number of outgoing edges of each vertex.

• True
• False

Question 2: Which of the following is not an attribute of a Triplet class?

• attr
• id
• srcAttr
• srcId
• None of the above

Question 3: Other libraries such as Gephi or GraphLab can help GraphX with visualization.

• True
• False

Module 3 – Modifying GraphX Quiz Answers

Question 1: We must run the “partitionBy” function before running the “groupEdges” operator.

• True
• False

Question 2: Which of following is among the PartitionStrategies provided by GraphX?

• EdgePartition2D
• RandomVertexCut
• EdgePartition1D
• CanonicalRandomVertexCut
• All of the above

Question 3: To improve efficiency, GraphX reuses portions of the graph which are unaffected by a modifier.

• True
• False

Module 4 – Neighborhood Aggregation Caching Quiz Answers

Question 1: AggregateMessages is the only neighborhood aggregation function provided by GraphX.

• True
• False

Question 2: Which of the following is not an attribute of TripletFields?

• TripletFields.None
• TripletFields.DstOnly
• TripletFields.EdgeOnly
• TripletFields.All
• None of the Above

Question 3: The ClassTag is optional for aggregateMessages if the message is a String.

• True
• False

Exploring Spark’s GraphX Final Exam Answers

Question 1: To instantiate a Graph, you need at LEAST 2 RDDs.

• True
• False

Question 2: pageRank is a graph algorithm that ranks the edges of the graph by correlating their relation with vertices, in terms of both quality and quantity.

• True
• False

Question 3: The numEdges operator returns an EdgesRDD[Long].

• True
• False

Question 4: Which of the following ClassTypes are returned from mapTriplets, assuming Graph[VD, ED] is the original?

• Graph[VD, ED]
• Graph[VD2, ED]
• Graph[VD, ED2]
• Graph[VD2, ED2]
• None of the Above

Question 5: The reverse operator returns a graph in which the direction of all edges are reversed.

• True
• False

Question 6: Which of the following ClassTypes are returned from mapTriplets, assuming Graph[VD, ED] is the original?

• Graph[VD, ED]
• Graph[VD2, ED]
• Graph[VD, ED2]
• Graph[VD2, ED2]
• None of the Above

Question 7: Caching graphs that are only used infrequently can slow computations.

• True
• False

Question 8: Which of the following is required to define aggregateMessages?

• sendMsg
• mergeMsg
• tripletFields
• sendMsg and mergeMsg
• All of the Above

Question 9: Triplets are a required parameter when instantiating a Graph.

• True
• False

Question 10: When defining the merge parameter for groupEdges (Int), which of the following is a valid definition for merge = (Edge1, Edge2)?

• Edge1
• Edge1 * Edge2
• Edge1 – Edge2 / Edge1
• Edge1 + Edge2
• All of the Above

Question 11: In a tuple, the first parameter returned by the “degrees” operator is the degree info, and the second parameter is the vertexid.

• True
• False

Question 12: Data-Parallel is usually handled by Pregel, GraphLab, and Giraph.

• True
• False

Question 13: Which of the following is true about GraphX?

• GraphX does not have built-in visualization functions.
• GraphX is a Graph-Processing library built into Apache Spark.
• GraphX extends the RDD class which allows us to use GraphX as a graph or a collection.
• GraphX is mainly a graph processing library.
• All of the above

Question 14: By using the mapTriplets function, we are only able to modify the edge attribute.

• True
• False

Question 15: Which of the following is true about the EdgeContext class?

• It has access to vertex attributes, but not to edge attributes.
• It has access to edge attributes, but not to vertex attributes.
• It has sendToDst, sendToSrc, and sendToAll functions.
• It is the same as the EdgeTriplet Class.
• None of the above

Enroll Here: Data Science with Scala Cognitive Class Exam Quiz Answers

Introduction to Data Science with Scala

Scala runs on the Java Virtual Machine (JVM) and seamlessly interoperates with Java libraries, making it a versatile choice for data science applications. It offers concise syntax, immutability by default, and strong static typing, which are beneficial for writing robust and scalable data processing code.

Tools and Libraries

1. Apache Spark: Scala is the primary language for Apache Spark, a fast and general-purpose cluster computing system. Spark’s RDD (Resilient Distributed Dataset) abstraction makes it suitable for handling large-scale data processing tasks like ETL, machine learning, and real-time analytics.
2. Breeze: Breeze is a numerical processing library for Scala that provides support for linear algebra, numerical computing, and signal processing. It’s particularly useful for implementing algorithms in data science workflows.
3. ScalaNLP: ScalaNLP is a library for natural language processing tasks in Scala. It includes tools for tokenization, stemming, part-of-speech tagging, and other NLP tasks, making it valuable for text mining and sentiment analysis.

Functional Programming Paradigm

Scala promotes a functional programming style, which emphasizes immutability, higher-order functions, and declarative code. This paradigm is well-suited for data transformation tasks and enhances code readability and maintainability.

Data Science Workflow in Scala

1. Data Collection and Cleaning: Use libraries like Apache Spark for data ingestion, cleaning, and preprocessing. Scala’s strong type system helps catch errors at compile-time, ensuring cleaner data pipelines.
2. Exploratory Data Analysis (EDA): Leverage Scala libraries such as Breeze and data visualization tools like Apache Zeppelin or Jupyter notebooks (using Scala kernels) for exploratory data analysis.
3. Machine Learning: Implement machine learning algorithms using Spark MLlib, which provides scalable implementations of popular algorithms like classification, regression, clustering, and collaborative filtering.
4. Model Deployment: Scala can be used to deploy models into production, leveraging frameworks like Akka for building reactive, distributed systems.

By leveraging Scala’s strengths in functional programming and its ecosystem of powerful libraries like Spark, Breeze, and ScalaNLP, you can effectively tackle various challenges in data science—from data preprocessing to building and deploying machine learning models.

Data Science with Scala Cognitive Class Certification Answers

Module 1 – Basic Statistics and Data Types Quiz Answers

Question 1: You import MLlib’s vectors from?

• org.apache.spark.mllib.TF
• org.apache.spark.mllib.numpy
• org.apache.spark.mllib.linalg
• org.apache.spark.mllib.pandas

Question 2: Select the types of distributed Matrices:

• Row Matrix
• Indexed Row Matrix
• Coordinate Matrix

Question 3: How would you caculate the mean of the following?

val observations: RDD[Vector] = sc.parallelize(Array(

Vectors.dense(1.0, 2.0),

Vectors.dense(4.0, 5.0),

Vectors.dense(7.0, 8.0)))

val summary: MultivariateStatisticalSummary = Statistics.colStats(observations)

• summary.normL1
• summary.numNonzeros
• summary.mean
• summary.normL2

Question 4: what task does the following lines of code?

import org.apache.spark.mllib.random.RandomRDDs._

val million = poissonRDD(sc, mean=1.0, size=1000000L, numPartitions=10)

• calculate the variance
• calculate the mean
• generate random samples
• Calculate the variance

Question 5: MLlib uses the compressed sparse column format for sparse matrices, as Such it only keeps the non-zero entrees?

• True
• False

Module 2 – Preparing Data Quiz Answers

Question 1: WFor a dataframe object the method describe calculates the?

• count
• mean
• standard deviation
• ma
• min
• all of the above

Question 2: What line of code drops the rows that contain null values, select the best answer?

• val dfnan = df.withColumn(“nanUniform”, halfTonNaN(df(“uniform”)))
• dfnan.na.replace(“uniform”, Map(Double.NaN -> 0.0))
• dfnan.na.drop(minNonNulls = 3)
• dfnan.na.fill(0.0)

Question 3: What task does the following lines of code perform?

val lr = new LogisticRegression()

lr.setMaxIter(10).setRegParam(0.01)

val model1 = lr.fit(training)

• perform one hot encoding
• Train a linear regression model
• Train a Logistic regression model
• Perform PCA on the data

Question 4: The StandardScaleModel transforms the data such that?

• each feature has a max value of 1
• each feature is Orthogonal
• each feature to have a unit standard deviation and zero mean
• each feature has a min value of -1

Module 3 – Feature Engineering Quiz Answers

Question 1: Spark ML works with?

• tensors
• vectors
• dataframes
• lists

Question 2: the function IndexToString() performs One hot encoding?

• True
• False

Question 3: Principal Component Analysis is Primarily used for?

• to convert categorical variables to integers
• to predict discrete values
• dimensionality reduction

Question 4: one import set prior to using PCA is?

• normalizing your data
• making sure every feature is not correlated
• taking the log for your data
• subtracting the mean

Module 4 – Fitting a Model Quiz Answers

Question 1: You can use decision trees for?

• regression
• classification
• classification and regression
• data normalization

Question 2: the following lines of code: val Array(trainingData, testData) = data.randomSplit(Array(0.7, 0.3))

• split the data into training and testing data
• train the model
• use 70% of the data for testing
• use 30% of the data for training
• make a prediction

Question 3: in the Random Forest Classifier constructor .setNumTrees()?

• sets the max depth of trees
• sets the minimum number of classes before a split
• set the number of trees

Question 4: Elastic net regularization uses?

• L0-norm
• L1-norm
• L2-norm
• a convex combination of the L1 norm and L2 norm

Module 5 – Pipeline and Grid Search Quiz Answers

Question 1: what task does the following code perform: withColumn(“paperscore”, data(“A2”) * 4 + data(“A”) * 3)?

• add 4 colunms to A2
• add 3 colunms to A1
• add 4 to each elment in colunm A2
• assign a higher weight to A2 and A journals

Question 2: In an estimator?

• there is no need to call the method fit
• fit function is called
• transform function is only called

Question 3: Which is not a valid type of Evaluator in MLlib?

• Regression Evaluator
• Multi-Class Classification Evaluator
• Multi-Label Classification Evaluator
• Binary Classification Evaluator
• All are valid

Question 4: In the following lines of code, the last transform in the pipeline is a:

val rf = new RandomForestClassifier().setFeaturesCol(“assembled”).setLabelCol(“status”).setSeed(42)

import org.apache.spark.ml.Pipeline

val pipeline = new Pipeline().setStages(Array(value_band_indexer,category_indexer,label_indexer,assembler,rf))

• principal component analysis
• Vector Assembler
• String Indexer
• Vector Assembler
• Random Forest Classifier

Data Science with Scala Final Exam Answers

Question 1: What is not true about labeled points?

• They associate dense vectors with a corresponding label/response
• They associate sparse vectors with a corresponding label/response
• They are used in unsupervised machine learning algorithms
• All are true
• None are true

Question 2: Which is true about column pointers in sparse matrices?

• They have the same number of values as the number of columns
• They never repeat values
• By themselves, they do not represent the specific physical location of a value in the matrix
• All are true
• None are true

Question 3: What is the name of the most basic type of distributed matrix?

• Coordinate Matrix
• Indexed Row Matrix
• Simple Matrix
• Row Matrix
• Sparse Matrix

Question 4: A perfect correlation is represented by what value?

• 100
• 3
• 1
• 0
• -1

Question 5: A MinMaxScaler is a transformer which:

• Rescales each feature to a specific range
• Takes no parameters
• Makes zero values remain untransformed
• All are true
• None are true

Question 6: Which is not a supported Random Data Generation distribution?

• Exponential
• Uniform
• Delta
• Normal
• Poisson

Question 7: Sampling without replacement means:

• The expected size of the sample is the same as the RDDs size
• The expected number of times each element is chosen is randomized
• The expected size of the sample is unknown
• The expected size of the sample is a fraction of the RDDs size
• The expected number of times each element is chosen

Question 8: What are the supported types of hypothesis testing?

• Kolmogorov-Smirnov test for equality of distribution
• Pearson’s Chi-Squared Test for goodness of fit
• Pearson’s Chi-Squared Test for independence
• All are supported
• None are supported

Question 9: For Kernel Density Estimation, which kernel is supported by Spark?

• KDEMultivariate
• KDEUnivariate
• KernelDensity
• Gaussian
• All are supported

Question 10: Which DataFrames statistics method computes the pairwise frequency table of the given columns?

• freqItems()
• crosstab()
• cov()
• pairwiseFreq()
• corr()

Question 11: Which is not true about the fill method for DataFrame NA functions?

• It is used for replacing null values
• It is used for replacing nil values
• It is used for replacing NaN values
• All are true
• None are true

Question 12: Which transformer listed below is used for Natural Language Processing?

• OneHotEncoder
• ElementwiseProduct
• Normalizer
• StandardScaler
• None are used for Natural Language Processing

Question 13: Which is true about the Mahalanobis Distance?

• It is a scale-variant distance
• It is a multi-dimensional generalization of measuring how many standard deviations a point is away from the median
• It is measured along each Principle Component axis
• It has units of distance
• It does not take into account the correlations of the dataset

Question 14: Which is true about OneHotEncoder?

• It creates a Sparse Vector
• It must be told which column to create for its output
• It must be told which column is its input
• All are true
• None are true

Question 15: Principle Component Analysis is:

• A dimension reduction technique
• Is never used for feature engineering
• Used for supervised machine learning
• All are true
• None are true

Question 16: MLlib’s implementation of decision trees:

• Partitions data by rows, allowing distributed training
• Supports only multiclass classification
• Does not support regressions
• Supports only continuous features
• None are true

Question 17: Which is not a tunable of SparkML decision trees?

• maxMemoryInMB
• minInfoGain
• minDepth
• maxBins
• minInstancesPerNode

Question 18: Which is true about Random Forests?

• They support non-categorical features
• They combine many decision trees in order to reduce the risk of overfitting
• They do not support regression
• They only support binary classification
• None are true

Question 19: When comparing Random Forest versus Gradient-Based Trees, what must you consider?

• Parallelization abilities
• Depth of Trees
• How the number of trees affects the outcome
• All of these
• None of these

Question 20: Which is not a valid type of Evaluator in MLlib?

• Multi-Class Classification Evaluator
• Binary Classification Evaluator
• Regression Evaluator
• Multi-Label Classification Evaluator
• All are valid

Enroll Here: Moving Data into Hadoop Cognitive Class Exam Quiz Answers

Introduction to Moving Data into Hadoop

Moving data into Hadoop involves several techniques and considerations to ensure efficiency and reliability. Here’s an introduction to the process:

1. Understanding Hadoop Basics

• Hadoop Ecosystem: Hadoop is an open-source framework designed for distributed storage and processing of large datasets across clusters of computers.
• Components: It includes HDFS (Hadoop Distributed File System) for storage and MapReduce (or other processing frameworks like Apache Spark) for computation.

2. Types of Data for Hadoop

• Structured, Semi-Structured, and Unstructured: Hadoop can handle various types of data, including structured data (like relational databases), semi-structured data (JSON, XML), and unstructured data (text, logs).

3. Methods for Moving Data

• Apache Sqoop: A tool designed to efficiently transfer bulk data between Apache Hadoop and structured datastores such as relational databases.
• Apache Flume: A distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data.
• Apache Kafka: A distributed streaming platform that can publish, subscribe to, store, and process streams of records in real-time.
• Direct Data Ingestion: Using HDFS commands or APIs to directly load data into Hadoop.

4. Considerations

• Data Volume: Handling large volumes of data efficiently is a core requirement.
• Data Formats: Ensure compatibility between the data format and the Hadoop ecosystem tools.
• Network Bandwidth: Transfer speeds can influence the choice of tools and methods.
• Data Consistency: Ensuring that data integrity is maintained during the transfer process.

5. Best Practices

• Incremental Loading: Where possible, transfer only the changes since the last load to reduce transfer time and resources.
• Compression: Compress data during transfer to reduce network overhead and storage costs.
• Error Handling and Monitoring: Implement mechanisms to monitor data movement, detect errors, and ensure data consistency.

6. Security Considerations

• Encryption: Secure data transfer using encryption techniques to protect sensitive information.
• Access Control: Implement strict access controls to prevent unauthorized access to data during transfer.

7. Tools and Technologies

• Hadoop Command Line Tools: Hadoop provides various command-line utilities (hadoop fs, hadoop distcp) for moving data.
• Third-Party Integrations: Many third-party tools and connectors are available for seamless data integration with Hadoop.

8. Integration with Data Pipelines

• Data Orchestration Tools: Use tools like Apache Airflow, Apache NiFi, or commercial solutions for managing complex data workflows and scheduling data transfers.

9. Conclusion

• Moving data into Hadoop involves leveraging tools and techniques that ensure efficient, secure, and reliable transfer of data from various sources. Understanding the types of data, the volume, and the desired outcome are essential in choosing the right method and ensuring successful integration into the Hadoop ecosystem.

Moving Data into Hadoop Cognitive Class Certification Answers

Module 1 – Lord Scenario Quiz Answers

Question 1: What is Data at rest?

• Data that is being transferred over
• Data that is already in a file in some directory
• Data that hasn’t been used in a while
• Data that needs to be copied over

Question 2: Data can be moved using BigSQL Load. True or false?

• True
• False

Question 3: Which of the following does not relate to Flume?

• Pipe
• Sink
• Interceptors
• Source

Module 2 – Using Sqoop Quiz Answers

Question 1: Sqoop is designed to

• export data from HDFS to streaming software
• read and understand data from a relational database at a high level
• prevent “bad” data in a relational database from going into Hadoop
• transfer data between relational database systems and Hadoop

Question 2: Which of the following is NOT an argument for Sqoop?

• –update-key
• –split-from
• –target-dir
• –connect

Question 3: By default, Sqoop assumes that it’s working with space-separated fields and that each record is terminated by a newline. True or false?

• True
• False

Module 3 – Flume Overview Quiz Answers

Question 1: Avro is a remote procedure call and serialization framework, developed within a separate Apache project. True or false?

• True
• False

Question 2: Data sent through Flume

• may have different batching but must be in a constant stream
• may have different batching or a different reliability setup
• must be in a particular format
• has to be in a constant stream

Question 3: A single Avro source can receive data from multiple Avro sinks. True or false?

• True
• False

Module 4 – Using Flume Quiz Answers

Question 1: Which of the following is NOT a supplied Interceptor?

• Regex extractor
• Regex sinker
• HostType
• Static

Question 2: Channels are:

• where the data is staged after having been read in by a source and not yet written out by a sink
• where the data is staged after having been read in by a sink and not yet written out by a source
• where the data is staged after having been written in by a source and not yet read out by a sink
• where the data is staged after having been written in by a sink and not yet written out by a source

Question 3: One property for sources is selector.type? True or false?

• True
• False

Moving Data into Hadoop Final Exam Answers

Question 1: The HDFS copyFromLocal command can be used to

• capture streaming data that you want to store in Hadoop
• ensure that log files which are actively being used to capture logging from a web server are moved into Hadoop
• move data from a relational database or data warehouse into Hadoop
• None of the above

Question 2: What is the primary purpose of Sqoop in the Hadoop architecture?

• To “catch” logging data as it is written to log files and move it into Hadoop
• To schedule scripts that can be run periodically to collect data into Hadoop
• To import data from a relational database or data warehouse into Hadoop
• To move static files from the local file system into HDFS
• To stream data into Hadoop

Question 3: A Sqoop JDBC connection string must include

• the name of the database you wish to connect to
• the hostname of the database server
• the port that the database server is listening on
• the name of the JDBC driver to use for the connection
• All of the above

Question 4: Sqoop can be used to either import data from relational tables into Hadoop or export data from Hadoop to relational tables. True or false?

• True
• False

Question 5: When importing data via Sqoop, the imported data can include

• a collection of data from multiple tables via a join operation, as specified by a SQL query
• specific rows and columns from a specific table
• all of the data from a specific table
• All of the Above

Question 6: When importing data via Sqoop, the incoming data can be stored as

• Serialized Objects
• JSON
• XML
• None of the Above

Question 7: Sqoop uses MapReduce jobs to import and export data, and you can configure the number of Mappers used. True or false?

• True
• False

Question 8: What is the primary purpose of Flume in the Hadoop architecture?

• To “catch” logging data as it is written to log files and move it into Hadoop
• To schedule scripts that can be run periodically to collect data into Hadoop
• To import data from a relational database or data warehouse into Hadoop
• To move static files from the local file system into HDFS
• To stream data into Hadoop

Question 9: When you create the configuration file for a Flume agent, you must configure

• an Interceptor
• a Sink
• a Channel
• a Source
• All of the above

Question 10: When using Flume, a Source and a Sink are “wired together” using an Interceptor. True or false?

• True
• False

Question 11: Flume agents can run on multiple servers in the enterprise, and they can communicate with each other over the network to move data. True or false?

• True
• False

Question 12: Possible Flume channels include

• The implementation of your own channel
• File Storage
• Database Storage
• In Memory
• All of the Above

Question 13: Flume provides a number of source types including

• Elastic Search
• HBase
• Hive
• HDFS
• None of the Above

Question 14: Flume agent configuration is specified using

• CSV
• a text file, similar to the Java.properties format
• JSON
• XML, similar to Sqoop configuration

Question 15: To pass data from a Flume agent on one node to another, you can configure an Avro sink on the first node and an Avro source on the second. True or false?

• True
• False