Adobe AD0-E207 Practice Test - Questions Answers, Page 3

To correctly capture the specified data in Adobe Analytics, the s.products syntax needs to be properly formatted to include the product SKU, quantity, price, and custom variables and events. The correct format is:

SKU: atp29

Quantity: 1

Price: 700.00

Event1: 70.00 (discount)

eVar1: SUMMER10 (coupon code)

eVar2: Amaze Touch Pro (product name)

The correct syntax is:

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s.products = ';atp29;1 ;700.00;eventl =70.00;eVar1 =SUMMER10|eVar2=Amaze Touch Pro';

This format ensures that all the specified information is correctly captured and recorded in Adobe Analytics.

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.

To capture and analyze the contribution of news sections to conversions, the following steps should be taken:

Assign a custom eVar to capture the news section value: This allows for tracking which news sections users engage with.

Enable linear attribution to the eVar: Linear attribution ensures that all news sections engaged with during a session are credited proportionally for any conversions, providing a more balanced view of their contribution.

Expire the eVar after the visit: This ensures that the attribution is relevant to the current session and does not carry over to future sessions, maintaining accuracy in conversion analysis.

This approach provides a clear and comprehensive understanding of how different news sections contribute to conversions.

To create a segment that captures visitors who engaged with a specific link type and purchased a specific product within the same visit, the following structure should be used:

Visitor container: Ensures the segment applies to the entire visitor's history.

Visit container (product = 'xyz'): Ensures that the product 'xyz' was purchased during the visit.

**Hit (prop17 = 'Checkout'

Top of Form

Bottom of Form

Business Requirement: Ensure data captured by eVar1 is correctly reported.

Potential Issues:

Tracking server is incorrect: Data might not be sent to the correct server for processing.

eVar1 is NOT enabled in admin settings: The eVar must be enabled in the admin settings to be recorded and reported.

Report Suite ID is incorrect: Data might be sent to the wrong report suite, causing discrepancies in reporting.

Explanation:

Tracking server is incorrect: Ensures data reaches the correct Adobe Analytics server for processing.

eVar1 is NOT enabled in admin settings: Critical to have eVar1 enabled for it to collect and report data.

Report Suite ID is incorrect: Ensures data is reported in the correct report suite.

Verification: According to Adobe Analytics troubleshooting documentation, ensuring the correct tracking server, enabled eVars, and correct Report Suite ID are fundamental steps in diagnosing reporting issues (Adobe Analytics Troubleshooting Guide).

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.

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).

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.

In Adobe Analytics, non-sequential segments allow for the inclusion of conditions that do not necessarily occur in a specific order. Since the specific product demo page and coupon page can be viewed in any order between the landing page and the order confirmation page, non-sequential containers are the appropriate choice. They allow for the creation of a segment where users must have started their visit from a campaign and completed an order, without enforcing a strict sequence for intermediate steps.

The issue arises because the calculated metric 'Orders / Visits' is not aggregating correctly at the product level in the Products report. To resolve this, the Architect should create a calculated metric that uses the Total versions of the Orders and Visits metrics. This ensures that the calculation is performed on the overall totals rather than individual line items, providing an accurate percentage of visits that resulted in purchases.