vmartinez

A business manager sets up Google Analytics but doesn’t apply a filter to exclude internal company traffic. After a month of data collection, they correct the setup by adding the filter. What’s the status of the data collected during that first month?

• The data from the first month will be deleted, and data collection will restart.
• The internal traffic from the first month will be automatically moved to a separate report.
• The new setting will retroactively cleanse the data from the first month’s reports.
• The data from the first month will permanently include the internal traffic.

Explanation

A data filter affects incoming data only after it is applied. Google Analytics does not reprocess historical data when a new filter is added. Filters used to exclude internal traffic are intended for data hygiene going forward. Once data has already been processed into reports, later filter changes do not cleanse that prior reporting period.

Why the other options are incorrect

Retroactive cleansing is incorrect because data filters do not apply to previously processed data.

Separate report is incorrect because Google Analytics does not automatically move past internal traffic into a separate report.

 Data deletion and restart is incorrect because adding an internal traffic filter does not delete existing data or restart collection.

Source for verification

https://support.google.com/analytics/answer/12996377

An analyst has been asked to prepare an event to be used for bidding optimization in a linked Google Ads account. According to the recommended workflow, what action must be taken after identifying the important event but before creating the conversion for ads?

• The event’s parameters must be marked as custom definitions.
• The event must be designated as a key event.
• The event data must be exported to BigQuery.
• The event must be analyzed in a custom exploration.

Explanation

A key event identifies a user action that is important for business measurement in Google Analytics. Only events marked this way can be selected when creating conversions for a linked Google Ads account. This step prepares the Analytics event so it can be shared for ads bidding and campaign optimization. Without the key event designation, the event remains available for reporting but is not ready for conversion creation in Google Ads.

Why the other options are incorrect

Custom exploration is incorrect because explorations are for analysis, not preparing events for ads bidding.

Custom definitions is incorrect because they make event parameters available in reports, not as bidding signals.

BigQuery export is incorrect because exporting raw  data is not required to create ads conversions.

Source for verification

https://support.google.com/analytics/answer/13128484

https://support.google.com/analytics/answer/10762509

What’s the direct result of sharing key events from Google Analytics with a linked Google Ads account?

• They can be used as conversions for bidding optimization and consistent reporting.
• They increase the total number of users reported in Google Analytics.
• They automatically pause underperforming ad campaigns in Google Ads.
• They unlock new demographic reports in the Google Analytics Admin section.

Explanation

Sharing key events with a linked Google Ads account allows them to be used as conversions in Google Ads. These conversions can support bidding strategies that optimize toward valuable user actions. The shared data also helps align conversion measurement between Google Analytics and Google Ads reporting. This connection improves campaign evaluation without changing the underlying user count in Analytics.

Why the other options are incorrect

Increase users is incorrect because sharing key events does not change how users are counted.

Pause campaigns is incorrect because Google Analytics does not automatically stop Google Ads campaigns.

Unlock demographic reports is incorrect because demographic reporting is not enabled by sharing key events with Google Ads.

Source for verification:

https://support.google.com/analytics/answer/10762509

https://support.google.com/analytics/answer/13128484

A marketing manager has already marked newsletter_signup as a conversion. Now, they want to understand how different channels (like Paid Search, Social Media, and Email) work together to drive those signups. Specifically, they want to compare how credit is assigned using different attribution models. Which Google Analytics workspace is specifically designed for this type of attribution and conversion path analysis?

• Explore
• Admin
• Reports
• Advertising

Explanation

Advertising contains attribution reports used to analyze how channels contribute to key events. Conversion paths show the sequence of touchpoints that users take before completing an important action. Model comparison helps compare how different attribution models assign credit across those touchpoints. This supports channel evaluation when multiple marketing sources influence the same signup action.

Why the other options are incorrect

Reports is incorrect because it provides standard performance reports, not the dedicated attribution analysis area.

Admin is incorrect because it is used for configuration and property settings.

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

Source for verification

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

A marketing manager observes that the number of conversions attributed to Paid Search in their Advertising workspace reports is higher than the number attributed to Paid Search in the standard Traffic Acquisition Report. What’s the reason for this discrepancy?

• The Traffic Acquisition Report is sampled, while the Advertising Report is not.
• The reports use different attribution models based on their scope.
• Thresholding is hiding data from the Traffic Acquisition Report.
• The Advertising workspace reports on users, while the Acquisition Report tracks sessions.

Explanation

Advertising reports use attribution rules for assigning credit to key events across touchpoints in the user journey. The standard Traffic acquisition report is session-scoped and reports traffic based on session acquisition dimensions. Because these reporting areas use different scopes and attribution logic, the same channel can receive different credited totals. A higher Paid Search total in attribution reporting can occur when Paid Search contributed to the path even if it was not the session source shown in acquisition reporting.

Why the other options are incorrect

Sampling is incorrect because the difference is caused by attribution and reporting scope, not sampled versus unsampled  data.

User reporting is incorrect because the core difference is not that one report counts users while the other counts sessions.

Thresholding is incorrect because thresholding hides limited data to protect privacy, not reassigns conversion credit.

Source for verification

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

https://support.google.com/analytics/answer/10597962

You have many events on your website that are highly valuable, like when users purchase items or sign up for your newsletter. You’d like to mark these events as important. What should you mark these events as in your Google Analytics property?

• Key events
• Recommended events
• Custom events
• Automatic events

Explanation

Key events are events that measure actions especially important to a business. They are used to highlight valuable user interactions such as purchases, sign-ups, or other priority actions. Marking events this way makes them easier to analyze in Google Analytics reports. These events can also support  advertising conversion workflows when linked products are configured.

Why the other options are incorrect

Recommended events is incorrect because they are predefined event names suggested for specific business scenarios, not the designation for important actions.

Custom events is incorrect because they are user-defined events, not the importance marker applied to valuable events.

Automatic events is incorrect because they are collected automatically by Google Analytics, not marked as important business actions.

Source for verification

https://support.google.com/analytics/answer/9267568