Introduction to Data Studio Certification Exam Answers

Introduction to Data Studio Exam Quiz Answers

Question 1: What are the benefits of using Data Studio?

• Allows you to visualize your own data
• Free of charge
• Accessible on web-connected devices
• Access to additional attribution models

Question 2: Which are examples of data sets?

• Google​-generated data, such as Google Analytics or Google Sheets
• A data source based on a CSV file
• Metrics and dimensions typed directly into Data Studio
• Amazon sales data

Question 3: Once you’ve connected your data in Data Studio, how often do you need to manually provide your data set credentials again?

• Every time you load the report
• Monthly
• Annually
• Only​ if you’ve revoked access

Question 4: Which types of components can be included in a report?

• Text
• Images
• Charts
• Templates

Question 5: Which term refers to the underlying data that can be connected to Data Studio?

• Data set
• Data source
• Data control
• Data connection

Question 6: Which access permission would you provide to a coworker to collaborate with them on a report?

• Can view report
• Can edit report
• Can view data source
• Can edit data source

Question 7: To share your report via a public link and allow all viewers to see chart data, which data source setting would you choose?

• Invite user to view
• Invite user to edit
• Use​ owner’s credentials
• Use viewer’s credentials

Question 8: What is the order in which data flows into Data Studio charts?

• Data set → data source → report → chart
• Data source → data set → report → chart
• Component → data source → report → chart
• Data set → report → data source → chart

Question 9: If you upload data from a CSV file to create a data set in Google Cloud, how can you update that data set in the future?

• Upload a CSV file with only the new rows of data
• Upload a CSV file with all the original data and additional data
• Click the refresh fields icon in the data source to automatically upload changes from the file on your computer
• Manually edit the data in the Data Studio report

Question 10: Which feature helps you create a new report quickly?

• Owner’s credentials
• Edit access
• Templates
• Controls

Question 11: Which actions can you take on the Data Studio Home page?

• Create a new report
• Share a report with others
• Edit data source fields
• Connect​ to data

Question 12: Which is the best tool to quickly visualize data that answers a specific question without saving or sharing it?

• Data source
• Explorer
• Report Gallery
• Templates

Question 13: What can you do with the Explorer tool?

• Invite others to view or edit your explorations
• Export​ an exploration as a chart into a new or existing report
• Toggle between view and edit modes
• Automatically save all changes to explorations

Question 14: What can you do with calculated fields?

• Create​ a metric or dimension using a mathematical formula
• Change an existing field’s aggregation
• Transform tables into pie charts
• Disable fields from the data source

Question 15: What can an individual viewing a report do?

• Hover over charts to see specific data point information
• Filter data
• Select a date range
• Make a page-level component report-level

Question 16: What is the benefit of using the Theme tab?

• The ability to adjust a report’s canvas size, grid settings, and page navigation position
• The ability to set consistent font and color selections for all components
• The ability to use templates for quick report building
• The ability to enable field editing in reports

Question 17: Which components must get their data from a data source?

• Images
• Bar charts
• Scorecards
• Embedded content

Question 18: In which ways can you change an existing field?

• Display the count of unique field values
• Change the format of a date field
• Display the output of a custom mathematical formula using the field
• Change the name

Question 19: What must the data source owner do to allow report editors to modify data fields?

• Enable field editing in reports
• Use owner’s credentials
• Give edit access to the data source
• Prevent editors from changing access and adding new people

Question 20: Which setting makes your report larger?

• Style tab
• Canvas size
• Report theme
• Grid settings

Question 21: What is the purpose of extracting data?

• Create robust data sources with over 100MB of data
• Maintain a live connection between your data set and data source
• Use connectors not available through Google or partners
• Use​ a subset of your original data for faster report performance

Question 22: What does the “refresh fields” button in the data source do?

• Update stale data in your report’s charts
• ​Reflect changes made to the data set’s schema
• Save changes you make to the data source fields
• Saves updates made to data source field names

Question 23: What is unique about a report-level component, compared to a page-level component?

• Report-level components appear in the same position on each page
• Report-level components are the default component type Report-level
• components can reference multiple data sources at once Report-level
• components have interactive properties for viewers to filter data

Question 24: What is one benefit of using blended data?

• The ability to combine data from different time periods in one chart
• The ability to visualize data from multiple data sources in one chart
• The ability to join multiple data sources without any common dimensions
• The ability to share combined data sources between reports

Question 25: What does a filter control allow viewers to do?

• Select a different data source to visualize
• Filter​ report data based on one or more-dimension values
• Change the date range of a report
• Import their own data into your report template

Question 26: What do the Theme tab settings affect?

• All reports in your account
• All​ components in the open report
• All components in the open page
• The selected component only

Question 27: What can a single filter control affect?

• Charts
• Scorecards
• Groups of components
• Multiple dimensions

Question 28: What is required for a single chart to reference data from two different data sources?

• Attach both data sources to the report
• Select the appropriate dimensions from the chart data tab
• Create​ a blended data source
• Add a data control to the report

Question 29: Which sharing option always requires recipients to log in with their Google account?

• Shareable link
• Invitation to edit
• PDF download
• Viewer’s credentials

Question 30: What is the purpose of creating a thumbnail image of your report?

• Invite others to view your report’s first page and hover for more detail
• ​Give users with view or edit access a preview of your report before opening
• Allow users to quickly download a non-interactive copy of your report
• Download a full-size PDF for offline viewing

Question 31: Which reflects a best practice for designing your report?

• Use only one report per page, including much text annotation to summarize findings
• Use the first page as a high-level overview, and add additional pages as needed for more detail
• Use contrasting colors for each different chart
• Use pie charts to compare 10+ segments of a whole

Question 32: How can you use any Data Studio report as a template?

• Copy the report as new and select your data source(s)
• Copy the data source and select your data set(s)
• Use templates available on the Data Studio Home page
• Ask the report owner to enable viewer’s credentials

Question 33: What is the purpose of a bullet chart?

• Show the total for a single metric
• ​See how well a metric is performing against a target
• Identify a correlation between data points
• Highlight a single, critical metric

Question 34: What is the purpose of templates?

• Quickstart data source creation
• Quickstart report creation
• Offer design tips based on connector
• Extract data for improved report load time

Question 35: What is the purpose of a scatter plot?

• Observe trends over time
• Track performance against a target
• Identify a relationship between variables
• Compare multiple parts of a whole

Introduction to Data Studio

Data Studio is a powerful tool for creating informative and interactive reports and dashboards from various data sources. Whether you’re a marketer, analyst, or business owner, Data Studio allows you to visualize data in meaningful ways without needing extensive technical expertise. Here’s a brief introduction to what Data Studio is and what it offers:

What is Data Studio?

Google Data Studio is a free-to-use data visualization and business intelligence tool developed by Google. It enables users to create dynamic and visually appealing reports and dashboards that are easy to share, customize, and understand. Data Studio integrates seamlessly with a wide range of data sources, including Google Sheets, Google Analytics, Google Ads, BigQuery, and many others.

Key Features:

1. Data Integration: Connects to various data sources, allowing you to pull in data from different platforms into a single report or dashboard.
2. Customizable Visualizations: Offers a wide array of charts, graphs, tables, and other visualization options to present data in a compelling manner.
3. Interactive Dashboards: Users can create interactive dashboards where viewers can filter and explore data dynamically.
4. Collaboration: Supports real-time collaboration, allowing multiple users to work on reports simultaneously and share them easily.
5. Data Refresh: Data Studio can automatically refresh data at regular intervals, ensuring your reports are always up-to-date.
6. Custom Branding: Customize reports with your own branding elements such as logos, colors, and fonts to maintain consistency with your organization’s identity.

Benefits:

• Ease of Use: Designed with a user-friendly interface that doesn’t require advanced technical skills to create professional-looking reports.
• Accessibility: Since it’s web-based and free to use (with a Google account), it’s accessible to anyone with an internet connection.
• Scalability: Scales well from individual use to enterprise-level reporting needs, making it suitable for businesses of all sizes.

How to Get Started:

1. Sign In: Use your Google account to sign in to Data Studio at datastudio.google.com.
2. Create a Report: Start with a blank canvas or use a template to begin creating your report.
3. Connect Data Sources: Add data sources from various platforms you want to visualize.
4. Design: Drag and drop charts, apply filters, and customize the layout and appearance of your report.
5. Share: Once your report is ready, share it with others by providing them with a link or granting them access directly within Data Studio.

Conclusion:

Data Studio empowers users to transform raw data into actionable insights through compelling visualizations and interactive dashboards. Whether you’re tracking marketing performance, analyzing sales data, or monitoring website traffic, Data Studio provides the tools you need to create informative reports that drive decision-making. It’s a valuable tool for anyone looking to harness the power of data visualization without the complexity of traditional BI tools.