vmartinez

A marketing manager needs to grant a colleague access to their Google Analytics property. The colleague’s responsibility is to build custom reports in the Explore workspace, but they shouldn’t have permission to manage other users or alter property-level settings. Which user role should the manager assign to this colleague?

• Viewer
• Administrator
• Editor
• Analyst

Explanation

The Analyst role provides collaboration permissions for explorations while keeping access below administrative control. It includes the Viewer role, so property data and settings can be viewed without granting configuration authority. This role supports sharing created explorations with other users of the property. It does not allow user management or full property-level settings control.

Why the other options are incorrect

Editor is incorrect because it gives full control of property-level settings.

Administrator is incorrect because it can manage users and assign roles.

Viewer is incorrect because it does not provide the collaboration permissions associated with the Analyst role.

Source for verification

https://support.google.com/analytics/answer/9305587

A marketing manager wants to compare different attribution models to understand how credit for conversions is distributed across their various ad campaigns. Which workspace in Google Analytics is specifically designed for this type of performance and ROI analysis?

• The  Advertising workspace
• The Admin workspace
• The Reports workspace
• The Explore workspace

Explanation

Advertising provides attribution reports for evaluating marketing performance and ROI. Model comparison shows how different attribution models assign credit across touchpoints. This helps analyze how campaigns contribute to important actions such as key events. It is the dedicated area for attribution and conversion path analysis in Google Analytics.

Why the other options are incorrect

Admin workspace is incorrect because it is used for configuration and access  management.

Reports workspace is incorrect because it provides standard reporting, not dedicated attribution model comparison.

Explore workspace is incorrect because it supports custom analysis, not the built-in attribution workspace.

Source for verification

https://support.google.com/analytics/answer/10596866

A business owner’s objective is to increase profit from their eCommerce website by promoting their most profitable products. Which set of metrics should they track in Google Analytics to measure progress toward this specific goal?

• Website leads, referral sources, and cost per lead
• User language, browser type, and operating system
• Product page views, popular items, and purchase revenue
• App downloads, feature usage, and subscription rates

Explanation

Google Analytics  eCommerce measurement helps evaluate how users interact with products and complete purchases. Product views indicate demand and interest before purchase behavior occurs. Item performance helps identify which products attract engagement and sales activity. Purchase revenue connects product promotion efforts to business value, making it directly relevant to profit-focused optimization.

Why the other options are incorrect

User language, browser type, and operating system is incorrect because these are audience and technology attributes, not product profitability measures.

App downloads, feature usage, and subscription rates is incorrect because these metrics apply to app performance rather than eCommerce product promotion.

Website leads, referral sources, and cost per lead is incorrect because these support lead generation analysis, not product revenue analysis.

Source for verification

https://support.google.com/analytics/answer/9267735

https://support.google.com/analytics/answer/14092809

An analyst is building a report to compare the total revenue generated from users on mobile devices vs. users on desktop computers. How are Device Category and Total Revenue functioning in this report?

• Device Category is the dimension, and Total Revenue is the metric.
• Device Category is the metric, and Total Revenue is the dimension.
• Both Device Category and Total Revenue are dimensions.
• Both Device Category and Total Revenue are metrics.

Explanation

Device category is a dimension because it describes the type of device associated with user activity. Total revenue is a metric because it measures the amount of revenue generated. Dimensions describe or categorize data, while metrics provide quantitative values. Comparing revenue by device type uses the dimension to break down the metric.

Why the other options are incorrect

Both dimensions is incorrect because revenue is a numeric measurement.

Both metrics is incorrect because device type is descriptive, not numeric.

Device Category as metric is incorrect because it categorizes users by device type.

Total Revenue as dimension is incorrect because it reports a measured value.

Source for verification

https://support.google.com/analytics/answer/9143382

https://support.google.com/analytics/answer/9267744

An eCommerce manager creates an audience in Google Analytics for users who’ve visited a specific product page more than three times in a single week. How does linking with Google Ads allow the manager to act on this behavioral data?

• It allows them to reach that specific audience with remarketing campaigns in Google Ads.
• It prevents that audience from seeing any more ads to avoid overexposure.
• It provides a detailed report on this audience’s activity within the Google Ads interface.
• It sends an automatic email report about that audience to the marketing team.

Explanation

A Google Ads link can make Google Analytics audiences available in Google Ads when audience sharing requirements are met. An audience built from repeated product-page visits can be used for remarketing because it represents users who showed specific onsite behavior. This lets  advertising activity use behavior measured in the Google Analytics property. The link activates audience use in Google Ads without changing the audience definition in Analytics.

Why the other options are incorrect

Email report is incorrect because linking does not automatically send audience reports to a team.

Google Ads activity report is incorrect because the main activation benefit is audience use for advertising, not detailed Analytics behavior reporting inside Google Ads.

Ad prevention is incorrect because remarketing audiences are used for targeting or exclusion only when configured that way.

Source for verification:

https://support.google.com/analytics/answer/9379420

https://support.google.com/analytics/answer/2611404

A fashion blogger is reviewing a Google Analytics Report to see which countries her website visitors are coming from. What role does Country play in this report?

• It’s a metric because it’s being measured.
  
• It’s a configuration property for backend definitions.
• It’s an event because it’s a user interaction.
• It’s a dimension because it’s a descriptive attribute.

Explanation

Country is a dimension because it describes an attribute of users or their activity. Dimensions are used to organize and break down Google Analytics data into meaningful categories. In this case, the report uses geography to classify where visitors are coming from. Metrics can then be compared across countries, such as users, sessions, or engagement rate.

Why the other options are incorrect

Configuration property is incorrect because country is a report dimension, not a backend setup item.

Event is incorrect because country is not a user interaction collected as an event.

Metric is incorrect because country is descriptive, not a numerical measurement.

Source for verification: https://support.google.com/analytics/answer/9143382