Introduction to Data Studio Certification

Data Studio is an Interactive Data visualization Software built by Google to help you create useful and fascinating reports and dashboards for the consumers. This allows you to connect easily to various data sources such as Google Analytics, Google Sheets, Google Ads, BigQuery, and others to visualize your meaning out of the data.

Introduction to Data Studio Certification

This is the Introduction to Data Studio Certification exam with 100% correct answers:

Q1: What are the benefits of using Data Studio?

1. Allows you to visualize your own data
2. Free of charge
3. Accessible on web-connected devices
4. Access to additional attribution models

Q2: Which are examples of data sets?

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

Q3: Once you’ve connected your data in Data Studio, how often do you need to manually provide your data set credentials again?

1. Every time you load the report
2. Monthly
3. Annually
4. Only​ if you’ve revoked access

Q4: Which types of components can be included in a report?

1. Text
2. Images
3. Charts
4. Templates

Q5: Which term refers to the underlying data that can be connected to Data Studio?

1. Data set
2. Data source
3. Data control
4. Data connection

Q6: Which access permission would you provide to a coworker to collaborate with them on a report?

1. Can view report
2. Can edit report
3. Can view data source
4. Can edit data source

Q7: To share your report via a public link and allow all viewers to see chart data, which data source setting would you choose?

1. Invite user to view
2. Invite user to edit
3. Use​ owner’s credentials
4. Use viewer’s credentials

Q8: What is the order in which data flows into Data Studio charts?

1. Data set → data source → report → chart
2. Data source → data set → report → chart
3. Component → data source → report → chart
4. Data set → report → data source → chart

Q9: 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?

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

Q10: Which feature helps you create a new report quickly?

1. Owner’s credentials
2. Edit access
3. Templates
4. Controls

Q11: Which actions can you take on the Data Studio Home page?

1. Create a new report
2. Share a report with others
3. Edit data source fields
4. Connect​ to data

Q12: Which is the best tool to quickly visualize data that answers a specific Qwithout saving or sharing it?

1. Data source
2. Explorer
3. Report Gallery
4. Templates

Q13: What can you do with the Explorer tool?

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

Q14: What can you do with calculated fields?

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

Q15: What can an individual viewing a report do?

1. Hover over charts to see specific data point information
2. Filter data
3. Select a date range
4. Make a page-level component report-level

Q16: What is the benefit of using the Theme tab?

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

Q17: Which components must get their data from a data source?

1. Images
2. Bar charts
3. Scorecards
4. Embedded content

Q18: In which ways can you change an existing field?

1. Display the count of unique field values
2. Change the format of a date field
3. Display the output of a custom mathematical formula using the field
4. Change the name

Q19: What must the data source owner do to allow report editors to modify data fields?

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

Q20: Which setting makes your report larger?

1. Style tab
2. Canvas size
3. Report theme
4. Grid settings

Q21: What is the purpose of extracting data?

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

Q22: What does the “refresh fields” button in the data source do?

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

Q23: What is unique about a report-level component, compared to a page-level component?

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

Q24: What is one benefit of using blended data?

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

Q25: What does a filter control allow viewers to do?

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

Q26: What do the Theme tab settings affect?

1. All reports in your account
2. All​ components in the open report
3. All components in the open page
4. The selected component only

Q27: What can a single filter control affect?

1. Charts
2. Scorecards
3. Groups of components
4. Multiple dimensions

Q28: What is required for a single chart to reference data from two different data sources?

1. Attach both data sources to the report
2. Select the appropriate dimensions from the chart data tab
3. Create​ a blended data source
4. Add a data control to the report

Q29: Which sharing option always requires recipients to log in with their Google account?

1. Shareable link
2. Invitation to edit
3. PDF download
4. Viewer’s credentials

Q30: What is the purpose of creating a thumbnail image of your report?

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

Q31: Which reflects a best practice for designing your report?

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

Q32: How can you use any Data Studio report as a template?

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

Q33: What is the purpose of a bullet chart?

1. Show the total for a single metric
2. ​See how well a metric is performing against a target
3. Identify a correlation between data points
4. Highlight a single, critical metric

Q34: What is the purpose of templates?

1. Quickstart data source creation
2. Quickstart report creation
3. Offer design tips based on connector
4. Extract data for improved report load time

Q35: What is the purpose of a scatter plot?

1. Observe trends over time
2. Track performance against a target
3. Identify a relationship between variables
4. Compare multiple parts of a whole

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