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Adobe AD0-E605 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Identity and Profile Management	22%	- Profile composition and calculation 1. Merge policies 2. Profile attributes and segments - Identity namespaces and graph 1. Identity configuration 2. Identity stitching and resolution
Topic 2: Destinations and Activation	16%	- Activation workflows and delivery 1. Data export and scheduling 2. Delivery verification and troubleshooting - Destination configuration and types 1. API and file-based activation 2. Built-in and custom destinations
Topic 3: Privacy, Governance and Security	9%	- Data governance framework 1. Consent and compliance management 2. DULE labels and policies - Security and access control 1. Sandbox management 2. Role-based permissions
Topic 4: Architecture and Data Model	20%	- Platform architecture and components 1. Adobe Experience Platform foundation 2. Real-Time CDP architecture - XDM schemas and data models 1. Data types and relationships 2. Schema design and extension
Topic 5: Segmentation and Audience Management	15%	- Audience creation and maintenance 1. Audience sharing and governance - Segment building and logic 1. Segment scheduling and evaluation 2. Rule-based and calculated segments
Topic 6: Data Ingestion	18%	- Data preparation and transformation 1. Mapping and validation 2. Data quality management - Batch and streaming ingestion 1. Data sources configuration 2. Ingestion monitoring and error handling

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Adobe Real-Time CDP Business Practitioner Professional Sample Questions (Q11-Q16):

NEW QUESTION # 11
What are characteristics of advanced data ingestion techniques in Adobe RT-CDP? (Select two.)

A. Configuring ingestion workflows for hybrid batch and streaming use cases.
B. Using custom schemas for flexible data structures.
C. Leveraging machine learning for data normalization.
D. Mapping data directly to campaign activation rules.

Answer: A,B

NEW QUESTION # 12
A data architect is building an XDM Experience Event Schema for loading event data from the Adobe Experience Platform (AEP) Web SDK. The data is intended to be used in the Real-Time customer profile and requires a primary identity to be present in the schema. The architect wants to be able to store both ambiguous and authenticated web data.
Does the data architect need to select a field as a primary identity?

A. Yes, the architect will select the identity map and mark it as primary.
B. Yes, the architect will select a field from the schema and mark it as primary.
C. No, a field on the schema will automatically be marked.
D. No, the primary identity will already be in the identity map.

Answer: D

NEW QUESTION # 13
Which type of constraint can be defined in the Batch API's payload while sending bulk data to Adobe Real- Time CDP?

A. Batch Frequency
B. Batch Size
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 # 14
What are benefits of using the Identity Graph in Adobe RT-CDP? (Select two.)

A. Prevents unification of structured and unstructured data.
B. Resolves multiple identifiers into a single customer profile.
C. Enables probabilistic and deterministic identity resolution.
D. Enhances manual identity mapping workflows.

Answer: B,C

NEW QUESTION # 15
A data engineer uses the Identity Graph Viewer in the Adobe Experience Platform User Interface to review relationships between different identities for a specific customer. While examining the graph, the data engineer reviews a specific node (ECID: 12345678).
However, as the data engineer examines the data source corresponding to this identity, the engineer notices the following information in the Identity Graph Viewer:
[1] Dataset ID
[2] No Dataset Name
[3] No Batch ID
What monitoring capabilities can the data engineer use to gain further information about the dataset associated with this identity?

A. Utilize Audit Logs and filter by Dataset; review the logs to obtain information on the Dataset ID
B. Utilize the Profile Dashboard to locate missing batch information
C. Utilize the Dataset Service API to look up the Dataset ID
D. Utilize Query Service to look up the ECID fragment and obtain the missing Batch ID

Answer: A

NEW QUESTION # 16
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