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Adobe AD0-E605 Exam Syllabus Topics:

Topic	Details
Topic 1	Governance: Covers data governance best practices for Adobe RT-CDP implementations and managing data across the platform's various services.
Topic 2	Administration: Covers monitoring tools, alerts, license usage types, and use cases for Attribute-Based Access Control (ABAC) within Adobe RT-CDP.
Topic 3	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 (Q60-Q65):

NEW QUESTION # 60
A data engineer has loaded several profile fragments onto a Real-Time Customer Profile The profile fragments use an Individual Profile class-based schema, where user-id is the primary identity. The engineer checks each fragment, as follows:

However, upon Inspection of the profile, they realize that only the email from Fragment 1 appears, while mobile and location from Fragments 2 and 3 do not.
What is the most likely reason for the missing data in Real-Time Customer Profile'

A. The profile fragments for mobile and location were not Included in the merge policy
B. The fragments were not loaded m the correct order
C. Real-Time Customer Profile does not support mobile data.
D. The fragments were not all loaded at the same time

Answer: A

Explanation:
In Adobe Real-Time CDP, theReal-Time Customer Profiledoes not simply aggregate every piece of data ingested into the system by default. Instead, it utilizesMerge Policiesto determine which datasets are "trusted" and should contribute to the final, unified view of a customer. Even if data is successfully ingested into a dataset and correctly linked via a primary identity like user_id, it will not appear in the unified profile if the source dataset is not included in the active Merge Policy.
When the data engineer observes that attributes from Fragment 2 (Mobile) and Fragment 3 (Location) are missing while Fragment 1 (Email) is present, the most probable cause is that the datasets containing Fragments 2 and 3 have not been added to theDataset Precedenceor are not part of the union governed by the specific Merge Policy being viewed. In AEP, you can create multiple Merge Policies for different use cases; if the UI is set to a policy that only includes the "Email System" dataset, other attributes will remain hidden from that specific profile view.
Options B and C are incorrect because the Real-Time Customer Profile is designed to beeventually consistent and non-linear; the system handles fragments loaded at different times or in different orders by constantly re- evaluating the profile as new data arrives. Option D is factually incorrect, as Mobile and Location are standard attributes within XDM. Therefore, ensuring the datasets are correctly enabled for Profile and included in the relevant Merge Policy is the critical step for data visibility.

NEW QUESTION # 61
After going live with an Adobe Real-Time CDP implementation, a data architect notices that a field defined in field group A should actually be part of field group B.
How can this issue be resolved?

A. Remove the field from field group A and create it inside of field group B after creating all datasets for the target XDM schema
B. Use the move schema endpoint in the schema registry API after deleting all datasets linked to the schema
C. Use the schema editor in the AEP UI to directly move the field to the new field group
D. Remove the field from field group A and create it inside of field group B after deleting all datasets linked to the XDM schema

Answer: D

NEW QUESTION # 62
A marketer has a requirement to enrich the audience which was already created with a few additional attributes from a specific dataset.
Which should a marketer use to create the new enriched audience?

A. Create Audience with "Compose audience" method
B. Use "Analyze audience" to add attributes to existing audience definitions
C. Create Audience with "Build rule" method
D. Create Audience with "Enrich audience" method

Answer: A

NEW QUESTION # 63
After creating the Entity Relationship Diagram (ERD) of the data sources that will be connected into an Adobe Experience Platform (AEP) implementation for a utility company, the service details (including information such as name, cost, type, and category) appear multiple times across different entities (for example, in the transactional events and in the customer profile details).
When designing the XDM data model for that ERD, the data architect and the business stakeholders validate that the service details information must be included at both levels, record, and time series. The service details will be used multiple times within the same structure. In what two ways should the service details be defined in the AEP data model to make it consistent and re-usable? (Choose two.)

A. Create a Schema
B. Create a Field Group (cross-class)
C. Create a Class
D. Create a Data Type

Answer: B,D

NEW QUESTION # 64
A customer has an ongoing scheduled batch dataflow (S3 source connector) that runs in every 8 hours starting
2 PM UTC. The customer requested for a schedule update to change the start time to 3 PM UTC and to run in every 6 hours. Which is the best possible solution to achieve that?

A. Disable the existing dataflow and create a new dataflow with requested schedule (backfill enabled)
B. From dataflow UI update the scheduler (start time & frequency) of the existing dataflow
C. Use Flow Service API to patch update the scheduler (start time & frequency) of the existing dataflow
D. Disable the existing dataflow and create a new dataflow with requested schedule (backfill disabled)

Answer: C

Explanation:
In Adobe Experience Platform, theDataflow User Interface (UI)currently has limitations regarding the modification of an active dataflow's schedule once it has been established. To update the "start time" and
"frequency" of an existing batch dataflow without deleting it and losing historical context, theFlow Service APImust be used.
By performing aPATCH requestto the /flows endpoint, a developer can update the schedule object within the dataflow's JSON definition. This approach is superior to Options A and C because it maintains the existing dataflow ID and configuration, avoiding the "double ingestion" or "gaps" that can occur when creating new dataflows. Option B is incorrect as the current UI allows for very limited schedule edits (often only frequency, but not the base start time for certain connectors). Using the Flow Service API is the most efficient and
"clean" solution, ensuring that the S3 source connector continues to function with the updated requirements of
6-hour intervals starting at 3 PM UTC while preserving all lineage and monitoring history.
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Would you like me to move on to the next set of questions from your list?

NEW QUESTION # 65
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