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Adobe AD0-E605 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Identity and Profile Management22%- Identity namespaces and graph
  • 1. Identity stitching and resolution
  • 2. Identity configuration
- Profile composition and calculation
  • 1. Profile attributes and segments
  • 2. Merge policies
Topic 2: Privacy, Governance and Security9%- Security and access control
  • 1. Sandbox management
  • 2. Role-based permissions
- Data governance framework
  • 1. Consent and compliance management
  • 2. DULE labels and policies
Topic 3: Segmentation and Audience Management15%- 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 4: Data Ingestion18%- Batch and streaming ingestion
  • 1. Ingestion monitoring and error handling
  • 2. Data sources configuration
- Data preparation and transformation
  • 1. Mapping and validation
  • 2. Data quality management
Topic 5: Architecture and Data Model20%- 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 6: Destinations and Activation16%- Destination configuration and types
  • 1. API and file-based activation
  • 2. Built-in and custom destinations
- Activation workflows and delivery
  • 1. Delivery verification and troubleshooting
  • 2. Data export and scheduling

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Adobe Real-Time CDP Business Practitioner Professional AD0-E605 Prüfungsfragen mit Lösungen (Q17-Q22):

17. Frage
A data architect for a global retailer wants to ingest batch data into Adobe Real-Time Customer Data Platform. The data consists of a large number of customer profiles that need to be loaded in bulk. The architect is also looking to reduce the load on the infrastructure while maintaining high throughput. Which method would the architect use to load batch data into the Adobe Real-Time CDP effectively?

Antwort: A

Begründung:
For high-volume data loading, theBatch Ingestion APIis the architecturally sound choice for maintaining high throughput while managing system resources effectively. Unlike streaming ingestion, which processes messages individually, the Batch Ingestion API allows for the uploading of large data files (such as Parquet or JSON) that are processed as a single unit of work.
To optimize infrastructure load, the architect should utilizespecified batch sizes. Adobe Experience Platform provides a "Large File Upload" workflow within the Batch Ingestion API that allows developers to break a single large file into smaller chunks, which are then stitched together on the platform side. This prevent timeouts and memory issues on the client-side infrastructure while ensuring the platform's ingestion engine can process the data in a scalable manner.
Option A is incorrect because a single HTTP API request is typically used for streaming or small payloads, not bulk profile loading. Option B is not a technical method, as even the UI utilizes these underlying APIs. By leveraging the Batch Ingestion API, the retailer can ensure that millions of profile records are validated against XDM schemas and moved into theData LakeandReal-Time Customer Profilestore with high efficiency and robust error reporting.


18. Frage
A company wants to provide access to specific schema fields in a sandbox to various internal teams based on their functions. What is the primary attribute of attribute-based access control (ABAC) feature which can be used to manage access to these specific schema fields?

Antwort: D

Begründung:
In Adobe Real-Time CDP,Attribute-Based Access Control (ABAC)is a powerful governance feature that allows for granular control over who can view specific data at the field level. The primary mechanism used to drive this functionality isAccess Labels(Option A).
Access labels are metadata tags applied directly toXDM schema fieldsor datasets. These labels categorize data based on its sensitivity or functional purpose (e.g., "PII," "Financial," or "Regional"). Once a field is tagged with an access label, the platform'sPermissionssystem usesPoliciesto evaluate whether a user's assigned role has the authority to view data associated with that specific label. If a user belongs to a functional team that lacks the corresponding permission for a "Sensitive" label, the data in those specific schema fields will be masked or completely hidden from them throughout the platform UI, including the Profile viewer and Query Service.
Options B, C, and D are not recognized technical terms or primary attributes within the Adobe Experience Platform ABAC framework. While "Access Profiles" might exist in general security terminology, AEP specifically utilizesRolesandPoliciestied toLabels. By leveraging Access Labels, a company can ensure that internal teams-such as a support team or a regional marketing group-only see the data necessary for their specific business function, maintaining strict data privacy and security compliance.


19. Frage
What are common activation patterns in Adobe RT-CDP? (Select two.)

Antwort: A,D


20. Frage
A customer is looking to implement the Adobe Real-Time CDP (RTCDP) platform and has a number of customers who have agreed to have their data collected for personalization, but have opted out to have their data shared with a third party.
How should the data engineer create the related objects to be compliant with the Adobe RTCDP data collection policy?

Antwort: A


21. Frage
Which component plays a key role in identity stitching in Adobe RT-CDP?

Antwort: D


22. Frage
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