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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Audience and Profile Management | 38% | - Real-Time Customer Profile
|
| Topic 2: Components and Architecture | 20% | - Platform architecture fundamentals
|
| Topic 3: Sources and Destinations | 28% | - Data ingestion and activation
|
| Topic 4: Privacy and Data Governance | 14% | - Governance and compliance
|
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NEW QUESTION # 36
What metrics are tracked for license usage in Adobe RT-CDP? (Select two.)
Answer: A,C
NEW QUESTION # 37
Which feature in Adobe RT-CDP is used to notify users about workflow errors or critical events?
Answer: C
NEW QUESTION # 38
A media company uses Adobe Experience Platform to process large quantities of media consumption data.
This data was previously stored in a relational database management system (RDBMS) but has been migrated to the Adobe Real-Time CDP's NoSQL data model for improved scalability and performance. The data set includes information such as user ID, media content ID, play duration, pause durations, and timestamps of each interaction. Which combination of Experience Data Model (XDM) schemas should be used to efficiently capture and retrieve this data with the Adobe Real-Time CDP's NoSQL data model, considering the real-time analytics needs?
Answer: B
Explanation:
In the Adobe Real-Time Customer Data Platform, the architecture is built upon theExperience Data Model (XDM), which utilizes two primary base classes to represent different types of data:XDM Individual Profile andXDM ExperienceEvent. To efficiently handle media consumption data in a NoSQL environment, it is critical to distinguish between the "actor" and the "action." TheXDM Individual Profileclass is designed to store the "record" data, representing the identity and attributes of the user (the actor). This includes theuser IDand other persistent traits like name, email, or preferences. This schema provides the centralized view of the customer. Conversely, theXDM ExperienceEventclass is purpose-built for time-series data (the actions). Media consumption data-such as content IDs, play/pause durations, and timestamps-are inherently behavioral and occur at specific points in time.
By using anExperienceEvent schemafor the media interactions, the system can capture an unlimited stream of events without bloating the profile record itself. Each event is linked to the Individual Profile via a common identity (the user ID). This separation is vital for the NoSQL data model used by theReal-Time Customer Profile, as it allows for high-throughput ingestion and enables real-time segmentation based on recent behaviors (e.g., "users who watched more than 50% of a video in the last 24 hours"). Options A, B, and C incorrectly mix behavioral event data into the profile schema or fail to leverage the standard class structure required for profile enrichment.
NEW QUESTION # 39
A data engineer is bringing in an external list of audience memberships to the Adobe Experience Platform (AEP).
Which two Experience Data Model (XDM) schema classes would the data engineer use to create the schemas? (Choose two.)
Answer: B,D
NEW QUESTION # 40
A marketing firm wants to create an audience for their new campaign focusing on repeat customers. What should they use in Adobe Real-Time CDP to build this audience segment considering recency and frequency of the customer visits?
Answer: B
Explanation:
To target "repeat customers" based on specific behavioral metrics likerecency and frequency, the most effective and native approach within Adobe Real-Time CDP is to use theSegment Builderto create arule- based Audience.
Adobe's Segment Builder provides built-in aggregation functions that allow marketers to define these parameters precisely. Forfrequency, the marketer can drag an "ExperienceEvent" (such as a website visit or purchase) into the canvas and set a condition such as "At least 3 times." Forrecency, they can apply a time filter to that same event, such as "in the last 30 days." Combining these results in a dynamic audience that automatically updates as users meet the criteria.
Option A and D are incorrect because they rely on external silos; while AEP can ingest data from Analytics and Target, the goal of the CDP is to build these audiences centrally on theunified profilerather than just
"composing" from a single source. Option C is insufficient because CRM data often lacks the real-time "visit" granularity (clickstream) needed to calculate recency/frequency accurately. By using a rule-based approach within the platform, the marketing firm can leverage the full power of theReal-Time Customer Profile, combining online and offline signals to identify the most active repeat customers across all touchpoints.
NEW QUESTION # 41
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