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A coworker creates the calculated metric named "Orders / Visits" in Adobe Analytics to determine the percentage of visits that purchased something on the company's website.
The coworker includes the calculated metric in the Products report. The coworker notices that the sum of the orders for the products is greater than the total orders shown in the report.
What should the Architect do?
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.
For an online retail company, propl 7 and prop24 are used to collect link name and link type respectively, and are sent via an s.tl() call.
An Architect is assigned to create a segment at a visitor level where the propl 7 was set to "Checkout' , prop24 was set to 'custom link' , and a product xyz" was purchased in the same visit.
How should the Architect build this segment?
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
A company wants to market to more visitors via email, SMS, and print mail. They obtain contact details from visitors through their website account registration form. Their immediate business goal is to increase website account registrations.
The Architect adds the following dimensions and metrics to the Measurement Plan:
eVar for Visitor Login Status
eVar for Form Name
Event for Form Starts
Event for Forms Submitted With Errors
Event for Forms Submitted Successfully
Which two calculated metrics should the Architect add to the Measurement Plan? (Choose two.)
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).
A Solution Design Reference (SDR) is built for architectsite.com. The site has the following business requirements:
* Report on newsletter sign-up attempts (event1) by URL
* View the user journey through the site by page name
* Track which site section successful newsletter sign-ups (event2) occur
Which query string parameters must be seen in the network request to meet the requirements?
To meet the specified business requirements, the query string parameters in the network request must include:
events=event1,event2: This captures both newsletter sign-up attempts (event1) and successful sign-ups (event2).
vl=architectsite.com: This identifies the URL.
pageName=homepage: This tracks the user journey through the site by page name.
ch=home: This captures the site section where the successful newsletter sign-ups occur.
The combination of these parameters ensures that all the required data points are collected and reported accurately.
A company has a Tableau Dashboard that includes data from various sources including Adobe Analytics. The dashboard is
updated weekly.
Which method should an Architect use to extract the data to be used with the dashboard?
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).
50 questions covering all exam domains, starting from $20
Exam domains verified against: Official Adobe AD0-E207 exam guide, last checked August 2026.
Conduct comprehensive site audits and analyze client requirements to determine measurement strategy. You will learn to show proficiency in conducting site audits, interpreting client needs, and developing robust business specifications for analytics implementation.
Sample question from this domain above: Q3
Convert business requirements into actionable variables and key metrics while configuring report suite settings. Demonstrate expertise in proposing optimal data collection methodologies, developing technical documentation for tagging specialists, and creating technical guidelines for developers.
Track implementation using browser developer tools and Adobe reports to ensure alignment with requirements. Manage data extraction, assess data privacy needs for governance frameworks, administer data sources and connectors, and design segments and calculated metrics to address business objectives.
Sample question from this domain above: Q5
Common questions about the exam itself