Adobe AD0-E207 Adobe Analytics Architect Master Exam Practice Test

 Business Requirement: Report on Facebook and Twitter activity separately in Marketing Channel reports.

 Configuration Steps:

Identify Social Media Traffic: Create a rule to identify all social media traffic.

Split Facebook and Twitter Traffic: Create rules to distinguish traffic from Facebook and Twitter based on tracking codes.

 Explanation:

First Rule for Social Media Traffic: This rule captures all social media traffic under a single category.

Second Rule to Split Traffic: Additional rules to distinguish between Facebook and Twitter based on specific tracking codes ("socialjb" for Facebook and "sociaLtw" for Twitter).

 Verification: According to Adobe's documentation on Marketing Channel Processing, using multiple rules to identify and then split traffic ensures detailed and accurate reporting (Adobe Analytics Marketing Channel Processing Rules Guide).

Business Requirement: Determine the appropriate report suite IDs for different websites using one Adobe Launch property.

Method:

Data Element: Utilizes a data element to dynamically determine and populate the report suite ID based on the domain or other contextual information.

Explanation:

Data Element: Provides flexibility to dynamically assign the correct report suite ID for each website based on defined conditions or context.

Verification: According to Adobe Launch best practices, using data elements to populate report suite IDs ensures accurate and context-specific tracking across multiple domains (Adobe Launch Documentation).

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 Business Requirement: Use dynamic variables to collect the current page URL in eVar32.

 Method:

Dynamic Variable Syntax:D=cpreferences the current page URL.

 Explanation:

s.eVar32="D=cp": This syntax tells Adobe Analytics to dynamically populate eVar32 with the current page URL.

 Verification: According to Adobe Analytics dynamic variables documentation, usingD=cpcorrectly references and captures the current page URL in eVars (Adobe Analytics Dynamic Variables Guide).

 Business Requirement: Ensure GDPR compliance for a new eVar tracking a site feature.

 Additional Configuration:

Data Governance Labels: Essential for ensuring that the data collected complies with GDPR by appropriately labeling the data for privacy and security.

 Explanation:

Data Governance Admin panel: Adding governance labels to the new eVar helps categorize and manage data according to GDPR compliance standards.

 Verification: According to Adobe Analytics GDPR compliance documentation, adding governance labels in the Data Governance Admin panel is a critical step for ensuring data privacy and compliance (Adobe Analytics GDPR Compliance Guide).

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 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.

Business Requirement: Ensure correct tracking of product detail pages for Electronics products.

Expected Parameters:

events=prodView: Tracks the product view event.

ch=PDP: Sets the site section to "PDP" (Product Detail Page).

eVar10=Electronics: Captures the product category.

Explanation:

events=prodView: Ensures product views are recorded.

ch=PDP: Ensures the site section is correctly identified as "PDP".

eVar10=Electronics: Ensures the product category is captured correctly.

Verification: According to Adobe Analytics documentation on event tracking and eVars, using these parameters ensures accurate and detailed tracking of product detail pages (Adobe Analytics Implementation Guide).

When uploading data source files to Adobe Analytics, it is crucial that each record has the same number of columns as the header record. If one of the records does not match the number of columns, the entire file will not be processed due to the column mismatch. This ensures data integrity and consistency in the uploaded data.

 Business Requirement: Enable server-side forwarding to integrate Adobe Audience Manager (AAM) with Adobe Analytics.

 Configuration Location:

Adobe Analytics Report Suite settings: This is where server-side forwarding needs to be enabled to allow data to be sent from Adobe Analytics to AAM.

 Explanation:

Adobe Analytics Report Suite settings: This setting ensures that data collected in Adobe Analytics is forwarded to Adobe Audience Manager.

 Verification: According to Adobe's integration documentation, server-side forwarding is configured within the Adobe Analytics Report Suite settings (Adobe Analytics and Audience Manager Integration 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).

 Business Requirement: The company needs to report on internal search keywords and their contribution to revenue by creating thedigitalData.search.keyworddata object in the data layer.

 Recommended Syntax: The syntax must be correctly structured to allow Adobe Analytics to map the data object to eVar1 efficiently.

 Explanation:

 Business Goal: Increase website account registrations by tracking relevant metrics.

 Key Dimensions and Metrics: Visitor Login Status, Form Name, Form Starts, Forms Submitted With Errors, Forms Submitted Successfully.

 Calculated Metrics:

Registration Form Completion Rate: Measures the percentage of forms started that are successfully completed, providing insights into form usability and effectiveness.

Return Visitation Rate: Tracks how often visitors return but is not directly related to registration form completion.

Registered Visitor Transaction Rate: Useful for post-registration analysis but not directly for increasing registrations.

Registered Visitor Form Start Rate: Redundant as registered visitors are less relevant for new registrations.

Unregistered Visitor Registration Form Start Rate: Tracks the engagement of unregistered visitors with the registration form, crucial for understanding initial interest.

 Explanation:

Registration Form Completion Rate: Essential for evaluating the effectiveness of the registration form.

Unregistered Visitor Registration Form Start Rate: Provides insights into how many new visitors are interested in registering, a direct indicator of potential registration increase.

 Verification: According to Adobe's Measurement Planning documentation, these calculated metrics are vital for tracking and improving form conversion rates (Adobe Measurement Planning Guide).

Business Requirement: Analyze all internal search terms, including those falling into the "(low traffic)" category.

Extraction Methods:

Data Warehouse: Provides comprehensive data extraction capabilities, allowing for the retrieval of detailed and granular data that might not be fully visible in standard reports.

Data Feeds: Offers raw data extraction capabilities, enabling the capture of all search terms without the aggregation and sampling that can occur in standard reports.

Explanation:

Data Warehouse: Can export detailed data, bypassing the "(low traffic)" limitation by accessing the raw, unsampled data.

Data Feeds: Provides a way to extract raw data directly from Adobe Analytics, ensuring that all search terms, including those with low traffic, are included.

Verification: According to Adobe Analytics documentation, using Data Warehouse and Data Feeds are recommended methods for extracting comprehensive datasets, including detailed search terms (Adobe Analytics Data Warehouse Guide, Data Feeds Documentation).

 Business Requirement: Ensure compliance with GDPR and CCPA by updating mobile data collection practices.

 Tracking Methods:

getGeoCoordinates: Retrieves geographical coordinates but is typically not the method used for tracking purposes.

trackState: Tracks the state of the application and user interaction.

trackAction: Tracks specific user actions within the application.

trackLocation: Explicitly tracks geographic location data, including latitude, longitude, and iBeacon data.

 Explanation:

trackLocation: Must be removed to comply with regulations as it directly tracks and transmits geographic location data.

 Verification: According to Adobe Mobile Services documentation, removing the trackLocation call ensures compliance with data protection regulations by eliminating the collection of sensitive geographic data (Adobe Mobile SDK Guide).

 Business Requirement: Distinguish between SMS and email campaigns using the "cid" query string parameter.

 Configuration Steps:

Identify SMS Links: Using the query string parameter "cid" ending with "-txt".

Processing Order: Ensuring the SMS channel is processed before the email channel.

 Explanation:

Query String Parameter "cid" Ends with "-txt": This setting ensures that any link containing "cid" ending with "-txt" is identified as an SMS link.

Processing Order: Placing the SMS channel rule above the email channel ensures that SMS links are correctly categorized before the system checks for email links.

 Verification: According to Adobe's Marketing Channel Processing Rules documentation, properly configuring query string parameters and processing order is crucial for accurate channel attribution (Adobe Analytics Marketing Channel Processing Rules Guide).