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Adobe AD0-E605 Exam Syllabus Topics:

Topic	Details
Topic 1	Data Architecture: Covers translating RDBMS to Adobe RT-CDP's NoSQL model, best practices for profile modeling, and designing identity strategies and entity relationships.
Topic 2	Real-Time Customer Profile: Covers how profiles are assembled and composed, how the Identity Graph works, and the differences between edge and hub profiles.
Topic 3	Segmentation: Covers methods for building audiences and segments, the various segmentation types and how they operate, and applying use cases to segment activation.
Topic 4	Data Ingestion: Covers general and edge data ingestion capabilities within the CDP and advanced architectural techniques for efficient data ingestion.
Topic 5	Activation: Covers activation patterns within the CDP, guardrails governing activation, and how on-site personalization is configured and delivered.

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Adobe Real-Time CDP Business Practitioner Professional Sample Questions (Q70-Q75):

NEW QUESTION # 70
What is the primary purpose of governance in Adobe RT-CDP?

A. Optimizing data ingestion workflows.
B. Creating static and dynamic segments.
C. Performing deterministic identity resolution.
D. Ensuring data compliance and proper usage across services.

Answer: D

NEW QUESTION # 71
A travel company is creating a promotional campaign for frequent flyers who have not booked a trip in the past six months.
Which segmentation strategy is appropriate?

A. Apply probabilistic segmentation to predict future bookings.
B. Create a static segment using historical data.
C. Leverage edge-based segmentation for real-time updates.
D. Use a dynamic segment based on recent booking behavior.

Answer: B

NEW QUESTION # 72
What is a key difference between static and dynamic segments?

A. Static segments support real-time updates, while dynamic segments do not.
B. Dynamic segments only work with structured data.
C. Dynamic segments automatically update based on real-time data, while static segments remain fixed.
D. Static segments are used for batch processing, while dynamic segments cannot be activated.

Answer: C

NEW QUESTION # 73
A marketer views the license usage dashboard first thing in the morning and notices the average profile richness metric is hovering around 300KB per profile when they only have 100KB in their contract. The marketer appropriately identifies a dataset causing the issue and determines they can drop the entire dataset without impacting their marketing use cases. They know the dataset contributes around ~150KB of average profile richness per profile. When the marketer reviews the dashboard license usage dashboard before the end of the day, they notice it has not been updated with the 150KB of richness removed. They confirm the data is deleted from the profile and are confused.
Assuming no other factors are present that are contributing to the average profile richness, why is the dashboard still showing the old value of 300KB?

A. The marketer needs to re-enable the deleted dataset for the dashboard to reflect the changes.
B. The marketer needs to wait until the next streaming segmentation job runs.
C. The marketer needs to manually run the "Update license usage" job to refresh the metrics.
D. The marketer forgot the license usage dashboard only updates one time per day.

Answer: D

NEW QUESTION # 74
A retail organization is Introducing an e-commerce channel and would like to integrate the customer's browsing and online purchase data into the Real-Time Customer Profile The data structure of the clickstream event being captured is as follows:

The architect decides to separate 'pages.vislted" and 'purchases' Into different schemas.
Which Experience Data Model XDM schema classes would be used to model the browsing activity and the purchase activity?

A. XDM ExpenenceEvent for browsing data and XDM Individual Profile for purchase data
B. XDM ExperienceEvent for browsing data and XDM Product (or purchase
C. XDM ExperienceEvent for both browsing and purchase data
D. XDM Individual Profilefor browsing data and XDM ExperienceEvent for purchase data

Answer: C

Explanation:
In Adobe Real-Time Customer Data Platform, the classification of data into Experience Data Model (XDM) classes depends on the nature of the information-specifically whether it describes a state or an event. Both
"browsing activity" (page visits) and "purchase activity" are fundamentally behavioral, time-series events that occur at a specific point in time.
TheXDM ExperienceEventclass is purpose-built to capture these "point-in-time" occurrences. For browsing data, each page view is an event with a timestamp and specific attributes (like page name). Similarly, a purchase is a discrete transaction that happens at a particular moment. Modeling both as ExperienceEvents allows theReal-Time Customer Profileto maintain a chronological timeline of a customer's journey, which is essential for calculating journey-based metrics and triggering real-time orchestration.
Option A and B are incorrect because theXDM Individual Profileclass is intended for persistent, slow- changing attributes (such as name, email, or loyalty tier) rather than transactional or behavioral data. Storing purchase data in a profile schema would fail to capture the historical context of multiple transactions. Option D is incorrect because "XDM Product" is typically a lookup schema used to provide descriptive details about a SKU, not to record the act of purchasing itself. By utilizing the ExperienceEvent class for both activities, the architect ensures that the data is optimized for theSegmentation Service, allowing for complex queries like
"customers who viewed a product but did not purchase it within the last 24 hours."

NEW QUESTION # 75
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