AD0-E207 Adobe Analytics Architect Master Questions and Answers

To deploy Adobe Analytics with Launch asynchronously, the necessary JavaScript library must be referenced in the header code of the HTML page. This ensures that the Launch library is loaded early in the page load process, allowing it to manage and fire tags efficiently.

Processing Rules in Adobe Analytics are versatile and can be used for various purposes:

Clean up misspelled site sections: Corrects misspelled values in data collection to ensure accurate reporting.

Populate campaign with a query string parameter: Extracts query string parameters and uses them to populate campaign variables.

Copy an eVar into a prop to see pathing: Allows copying values from an eVar to a prop to enable pathing analysis on that variable.

These rules help maintain data quality and flexibility in reporting.

 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: The company wants to track successful and unsuccessful form submissions and identify the types of forms being submitted.

 Variables and Metrics Needed:

Event for "Forms Submitted with Errors": Captures instances where forms are submitted but contain errors.

eVar for "Form Type": Identifies the type of form being submitted, which is crucial for analyzing different form performance.

Event for "Forms Submitted Successfully": Captures instances where forms are successfully submitted.

 Explanation:

Event for "Forms Submitted with Errors": Essential for understanding and improving form completion processes by identifying where users encounter issues.

eVar for "Form Type": Provides detailed breakdowns of form performance by type, aiding in targeted improvements.

Event for "Forms Submitted Successfully": Measures the completion rate of forms, which is critical for business metrics.

 Verification: According to Adobe Analytics best practices, using specific events for tracking successful and error submissions alongside eVars for categorization provides comprehensive insights (Adobe Analytics Implementation Guide).

 Business Requirement: Track the login status of visitors on a secure website.

 Potential Login Statuses:

"Unregistered / Logged Out": Tracks users who have not registered or have logged out.

"Anonymous": Generally used for visitors who browse without logging in, but does not apply in a secure login-required context.

"Registered / Logged Out": Important for tracking users who have accounts but are currently logged out.

"Registered / Logged In": Essential for tracking active, logged-in users.

"Incomplete Registration": Useful for identifying users who started but did not complete the registration process.

"Unregistered / Logged In": Typically not applicable as unregistered users cannot be logged in.

 Explanation:

"Unregistered / Logged Out": Helps in understanding the behavior of users who visit but have not completed registration or logged out.

"Registered / Logged In": Critical for identifying and analyzing the behavior of active users.

"Incomplete Registration": Helps in identifying and addressing barriers in the registration process.

 Verification: According to Adobe Analytics best practices, capturing various login statuses helps in comprehensive user behavior analysis (Adobe Analytics User Guide).

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.

 Business Requirement: The company wants to track shares of blog posts to social networks and report on the total number of shares and the specific networks used.

 Variables and Metrics Needed:

eVar for "Blog Post Title": Captures the title of the blog post being shared.

eVar for "Blog Share Social Network": Captures the social network to which the post is shared.

Event for "Blog Shares": Captures the number of times a post is shared.

 Explanation:

eVar for "Blog Post Title": This variable allows reporting on the specific blog posts being shared.

eVar for "Blog Share Social Network": This variable tracks which social networks the posts are shared to, enabling detailed reporting.

Event for "Blog Shares": This metric captures the total number of shares, providing a quantifiable measure of sharing activity.

 Verification: According to Adobe Analytics best practices for tracking social sharing, using specific eVars for post titles and social networks along with an event for total shares ensures comprehensive reporting (Adobe Analytics Implementation Guide).

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.

Overview of the Issue: The hourly unique visitor report being 3 hours behind indicates a delay in data processing within Adobe Analytics.

Potential Causes: The delay could be due to several factors such as increased data volume, server performance issues, or unexpected traffic spikes.

Explanation:

Increased unique variable values: This could slow down processing, but it typically affects data collection rather than causing such a significant delay.

Increased number of users running reports: This might slow down the user interface and report generation, but not data processing itself.

New variables enabled for report suite: This usually affects the data collection stage and can cause delays but would not typically result in a consistent 3-hour lag.

An unexpected traffic spike: A sudden increase in traffic can overload data processing servers, causing delays in reporting as the system tries to catch up with the increased data volume.

Verification: According to Adobe's documentation, data processing delays are often caused by unexpected traffic spikes that increase the volume of data beyond typical processing capacity (Adobe Analytics Documentation).

 Business Requirement: Disable Activity Map to prevent collecting Personal Identifiable Information (PII) in links.

 Method:

s.trackInlineStats: Setting this to false disables Activity Map tracking.

 Explanation:

s.trackInlineStats to false: This setting stops Activity Map from tracking link clicks and capturing PII in links.

 Verification: According to Adobe Analytics Activity Map documentation, disabling Activity Map by settings.trackInlineStatsto false prevents the collection of potentially sensitive data (Adobe Activity Map Documentation).

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.