Google Analytics

Introduction to Data Studio

W tym wpisie chcemy pomóc wszystkim osobom mające problem z pytaniami w kursie akademii google analytics – Introduction to Data Studio.

Pomoc ma na celu analizy pytań i poprawnych odpowiedzi dla osób mających problem z tym kursem. Aby przejść do tego kursu w akademii google trzeba zmienić język na angielski w dolnym prawym rogu. W pozostałych naszych wpisach znajdziecie omówione pozostałe testy z wszystkich kursów akademii google analytics.

Jeśli podoba Wam się w jaki sposób przedstawiamy dane testy i kursy napiszcie w komentarzu a udostępnimy inne egzaminy, testy z kursów, szkoleń marketingu online 

TEST 1


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

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

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

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

 Text

 Images

 Charts

 Templates

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

 Data set

 Data source

 Data control

 Data connection

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

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

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

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

10. Which feature helps you create a new report quickly?

 Owner’s credentials

 Edit access

 Templates

 Controls

 

 

TEST 2


1. 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

2. 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

3. 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

4. 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

 

5. 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

6. 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

7. Which components must get their data from a data source?

 Images

 Bar charts

 Scorecards

 Embedded content

8. 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

9. 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

10. Which setting makes your report larger?

 Style tab

 Canvas size

 Report theme

 Grid settings

 

 

TEST 3


1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. What can a single filter control affect?

 Charts

 Scorecards

 Groups of components

 Multiple dimensions

8. 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

9. Which sharing option always requires recipients to log in with their Google account?

 Shareable link

 Invitation to edit

 PDF download

 Viewer’s credentials

10. 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

 

 


TEST 4



1. 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

2. 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

3. 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

4. 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

5. 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



Pozostałe kursy z akademii Google Analytics

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