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Adobe AD0-E605 Exam Syllabus Topics:

Topic	Details
Topic 1	Activation: Covers activation patterns within the CDP, guardrails governing activation, and how on-site personalization is configured and delivered.
Topic 2	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 3	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 4	Data Ingestion: Covers general and edge data ingestion capabilities within the CDP and advanced architectural techniques for efficient data ingestion.

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Adobe Real-Time CDP Business Practitioner Professional Sample Questions (Q15-Q20):

NEW QUESTION # 15
A customer has noticed incorrect data was loaded into the Real-Time Customer Profile for only two profiles. The data came from a single XDM Individual Profile class-based dataset. What actions can the customer take to correct the problem?

A. Re-load all the affected profiles with the correct data and have the profile update and/or replace the existing records in the dataset
B. Look up each profile in the UI and update the incorrect attributes manually
C. Delete the entire dataset containing the incorrect profiles
D. Delete the batch that created the problem from the dataset in the data lake and let the profile roll- back to its previous state

Answer: A

NEW QUESTION # 16
A financial services firm uses Adobe RT-CDP to unify customer data from multiple sources, including credit card activity, email interactions, and website visits. What combination of features is critical for accurate profile assembly?

A. Static schemas and batch ingestion workflows.
B. Real-time activation without identity stitching.
C. Probabilistic identity resolution and edge profiles.
D. Deterministic identity resolution and the Identity Graph.

Answer: D

NEW QUESTION # 17
What is a key feature of Edge ingestion in Adobe RT-CDP?

A. Performing manual identity mapping during data ingestion.
B. Restricting ingestion to structured datasets only.
C. Processing data in central hubs for batch activation.
D. Streaming data in real-time for immediate profile updates.

Answer: D

NEW QUESTION # 18
A team of developers at a digital marketing agency is setting up the Real-Time CDP for their client and they need to understand the implications of their data ingestion tactics in relation to their license. Which of these factors contributes to the calculation of Total Data Volume?

A. Number of namespaces a profile has data for
B. Number of unique identifiers linked within the profile
C. Number of Experience Events linked to a profile

Answer: C

Explanation:
In Adobe Real-Time Customer Data Platform, licensing is often tied to two primary metrics: theAddressable Audiencecount (the number of unified profiles) and theTotal Data VolumeorProfile Enrichmentcapacity.
TheNumber of Experience Events linked to a profile (Option C)is a significant factor in the calculation of data volume and profile richness. WhileIndividual Profileattributes (like name or email) are relatively static and small,ExperienceEvents(like clicks, purchases, or page views) are time-series data that can grow exponentially. Every interaction captured via the Web SDK or Batch ingestion adds to the total storage and processing requirements of theReal-Time Customer Profilestore.
Options A and B relate to theIdentity Serviceand the complexity of theIdentity Graph, but they generally do not drive the "Data Volume" metric in the same way as behavioral event history. While having many identifiers or namespaces increases the metadata size of a profile, the bulk of the data weight-and the metric most closely monitored for license overages regarding storage-is the volume of ingested ExperienceEvents.
Developers must implement data retention strategies, such asExperience Event TTL, to purge old events and keep the total data volume within the client's contractual limits.

NEW QUESTION # 19
Which type of constraint can be defined in the Batch API's payload while sending bulk data to Adobe Real- Time CDP?

A. Batch Size
B. Batch Frequency
C. Encryption Type
D. Data Schema

Answer: D

Explanation:
When performing bulk data ingestion using theBatch Ingestion API, the most critical constraint that must be defined is theData Schema. Adobe Experience Platform is built on the principle ofExperience Data Model (XDM)compliance. Every batch created must be associated with a specificDataset, which in turn is strictly bound to an XDM Schema.
When a developer initiates a "Create Batch" request, the platform requires the datasetId. This ID ensures that all incoming records in the payload are validated against the structure, data types, and mandatory fields defined in the schema. This constraint is fundamental to maintaining data integrity within theData Lakeand ensures that theReal-Time Customer Profileservice can correctly ingest and merge the fragments. Options like Batch Size and Batch Frequency are typically environmental or orchestration settings rather than constraints defined within the API's batch creation payload itself. By enforcing theData Schemaconstraint at the ingestion point, Adobe CDP prevents "dirty data" from entering the system, ensuring that segmentation and activation services can rely on a standardized and predictable data structure across all sources.

NEW QUESTION # 20
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