Introduction to Data Studio Certification Exam Answers

Clear My Certification February 7, 2024 Google Leave a comment 151 Views

Data Studio is a powerful data visualization and reporting tool developed by Google. It allows users to create interactive dashboards and reports using various data sources, such as Google Analytics, Google Sheets, Google Ads, BigQuery, and many others.

Here’s an introduction to Data Studio and its key features:

Data Integration: Data Studio integrates seamlessly with a wide range of data sources, both from Google products and third-party services. This allows users to pull in data from multiple platforms and create comprehensive reports.
Drag-and-Drop Interface: One of the key features of Data Studio is its intuitive drag-and-drop interface. Users can easily add charts, tables, graphs, and other visualizations to their reports, and arrange them in a way that best communicates their data insights.
Customizable Visualizations: Data Studio offers a variety of customizable visualization options, allowing users to create reports that suit their specific needs and preferences. Users can customize colors, fonts, chart styles, and more to match their branding or reporting requirements.
Interactive Dashboards: With Data Studio, users can create interactive dashboards that allow viewers to explore the data in-depth. Users can add filters, date range controls, and other interactive elements to their dashboards, enabling viewers to dynamically interact with the data.
Real-Time Collaboration: Data Studio supports real-time collaboration, allowing multiple users to work on the same report simultaneously. Users can share reports with colleagues or clients, collaborate on editing in real-time, and leave comments for feedback.
Data Permissions and Security: Data Studio offers robust data permissions and security features, allowing users to control access to their reports and data sources. Users can set permissions at the report, data source, or individual component level, ensuring that sensitive data remains secure.
Automated Data Refresh: Data Studio can automatically refresh data at regular intervals, ensuring that reports are always up-to-date with the latest information. Users can set custom refresh schedules for each data source, ranging from every hour to once per day.
Integration with Google Drive: Data Studio integrates seamlessly with Google Drive, making it easy to store and share reports with others. Reports are saved as Google Drive files, allowing users to access them from anywhere and collaborate with others.

Overall, Data Studio is a versatile and user-friendly tool for creating interactive data visualizations and reports. Whether you’re a marketer analyzing website traffic, a business analyst tracking sales performance, or a data scientist exploring large datasets, Data Studio provides the tools you need to turn your data into actionable insights.

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?