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Adobe AD0-E605 Exam Syllabus Topics:

SectionWeightObjectives
Privacy and Governance15-20%- Data access and deletion requests
- Data governance policies
- Consent management
- Privacy compliance (GDPR, CCPA)
Foundations and Configuration20-25%- Data ingestion setup
- Data prep and transformation
- Real-Time CDP overview and core concepts
- Account and user configuration
Segmentation and Targeting20-25%- Streaming segmentation
- Segment builder interface
- Segment membership and management
- Segment evaluation and activation
Activation15-20%- Activation workflows
- Data export management
- Destinations setup and configuration
- Destination monitoring
Data Unification15-20%- Schema management
- Data harmonization
- Identity resolution
- Profile merge rules
Reporting and Analytics5-10%- Data quality monitoring
- Profile and segment reporting
- Metrics and dashboards

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Adobe Real-Time CDP Business Practitioner Professional Sample Questions (Q45-Q50):

NEW QUESTION # 45
What metrics are tracked for license usage in Adobe RT-CDP? (Select two.)

Answer: A,B


NEW QUESTION # 46
What is the primary goal of activation in Adobe RT-CDP?

Answer: D


NEW QUESTION # 47
What is a key feature of Edge ingestion in Adobe RT-CDP?

Answer: A


NEW QUESTION # 48
A customer is bringing their brand data using Mobile and Web SDK into AEP to use for brand marketing using Adobe Real-Time CDP. The client has a license limited to 5 million Addressable Audience. What strategy should be adopted by the Data Architect to keep profile count in check and within license limits?

Answer: B

Explanation:
In Adobe Experience Platform, managing theAddressable Audiencecount is critical for license compliance, especially when ingesting high volumes of top-of-funnel data via Web and Mobile SDKs.Pseudonymous TTL (Time-to-Live)is the primary architectural strategy used to automatically manage the lifecycle of profiles that lack a durable identity.
When users browse a website or app anonymously, the system creates profiles keyed off apseudonymous identifier(like an ECID). Without a management strategy, these transient profiles persist indefinitely, quickly exhausting the 5 million profile license limit. By configuring aPseudonymous TTLat the sandbox or identity level, the architect can instruct theReal-Time Customer Profileservice to automatically delete profiles that have not seen any activity within a specific timeframe (e.g., 14 or 30 days) and do not possess a "durable" identity (such as an Email or CRM ID).
Option A (Experience Event TTL) removes individual events but does not delete the profile record itself.
Option B (Privacy API) is intended for one-off GDPR/CCPA requests, not automated capacity management.
Option D (Datalake Storage TTL) only affects the long-term storage and not theActive Profilecount used for licensing. By implementing Option C, the architect ensures that only active or known customers occupy the 5 million slots, while stale, anonymous fragments are purged to make room for new prospects.


NEW QUESTION # 49
A relational diagram can be seen in the exhibit; a Gamer (parent entity) is shown to have many Owned Games (child entity). Each owned game is essentially a property of the gamer. Looking at this diagram, what would a data architect say about how the Owned Games table will act within the parent entity?

Answer: A


NEW QUESTION # 50
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