Free Practice Questions for Adobe AD0-E207 Exam

To make Adobe Analytics data GDPR-compliant, specific privacy settings need to be applied to the variables that collect personal data. The following privacy settings are relevant:

12: This identifier is for data elements that are directly related to individuals.

DEL-PERSON: This setting indicates that the data should be deleted if requested by the user under GDPR.

ACC-PERSON: This setting allows access to the data by the individual upon request.

By applying these settings to the variables collecting gender and age data, the company ensures compliance with GDPR regulations, allowing for the necessary control and access to personal data.

Custom success events in Adobe Analytics are specific to the business goals and can vary widely depending on the site’s purpose. Examples of such events typically include actions that are significant indicators of user engagement or progress through a conversion funnel:

Cart Adds: Tracking how often users add items to their cart.

Form Completions: Monitoring the number of users who complete and submit forms on the site.

These are distinct from more generic metrics like purchases or checkouts which are often predefined standard events in many analytics implementations.

To restrict data access to different business groups based on their department, the following methods can be used:

Create a global report suite with an eVar set to the department then create virtual suites based on that eVar: This method allows for a single comprehensive dataset that can be segmented into virtual report suites for each department, making data management and reporting easier.

Create individual report suites for each department and assign each analyst the access rights: This approach provides complete data isolation for each department, ensuring that analysts only have access to their respective department's data.

Both methods ensure that data access is properly restricted and managed according to departmental boundaries.

Business Requirement: Extract data for weekly updates to a Tableau Dashboard from Adobe Analytics.

Recommended Method:

Deliver data via FTP through Data Warehouse: Provides a robust and automated method for exporting large datasets on a scheduled basis.

Explanation:

Data Warehouse: Allows for the extraction of large and complex datasets suitable for integration with external BI tools like Tableau.

FTP Delivery: Automates the data export process, ensuring timely updates to the Tableau Dashboard.

Verification: According to Adobe Analytics Data Warehouse documentation, using FTP delivery through Data Warehouse is the preferred method for exporting large datasets for external use (Adobe Analytics Data Warehouse Guide).

 Business Requirement: Track each step of the checkout process as separate page views in a Single Page Application (SPA).

 Configuration:

Direct Call Event: Triggered explicitly by the application code when a user moves to the next step.

s.t() beacon: Sends a page view beacon, suitable for capturing page views in SPAs.

 Explanation:

Direct Call Event: Allows developers to indicate specific points in the SPA where analytics tracking should occur.

s.t() beacon: Suitable for recording page views, capturing each step in the checkout flow as a separate page view.

 Verification: According to Adobe Launch documentation, using Direct Call Events with s.t() beacons is the recommended approach for tracking page views in SPAs (Adobe Launch Implementation Guide).