Adobe AD0-E605日本語資格取得、AD0-E605技術内容

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Adobe AD0-E605 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Ingestion18%- Batch and streaming ingestion
  • 1. Data sources configuration
  • 2. Ingestion monitoring and error handling
- Data preparation and transformation
  • 1. Mapping and validation
  • 2. Data quality management
Topic 2: Identity and Profile Management22%- Identity namespaces and graph
  • 1. Identity stitching and resolution
  • 2. Identity configuration
- Profile composition and calculation
  • 1. Merge policies
  • 2. Profile attributes and segments
Topic 3: Segmentation and Audience Management15%- Audience creation and maintenance
  • 1. Audience sharing and governance
- Segment building and logic
  • 1. Rule-based and calculated segments
  • 2. Segment scheduling and evaluation
Topic 4: Privacy, Governance and Security9%- Data governance framework
  • 1. Consent and compliance management
  • 2. DULE labels and policies
- Security and access control
  • 1. Role-based permissions
  • 2. Sandbox management
Topic 5: Destinations and Activation16%- 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 6: Architecture and Data Model20%- XDM schemas and data models
  • 1. Schema design and extension
  • 2. Data types and relationships
- Platform architecture and components
  • 1. Real-Time CDP architecture
  • 2. Adobe Experience Platform foundation

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Adobe Real-Time CDP Business Practitioner Professional 認定 AD0-E605 試験問題 (Q64-Q69):

質問 # 64
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?

正解:D

解説:
When working with theAdobe Experience Platform (AEP) Web SDK, the standard practice for handling identities is to use theIdentity Mapfield group. This field group allows for the collection of multiple identities (such as an ECID for anonymous tracking and a CRM ID for authenticated users) within a single event.
For schemas designed for the Web SDK, theIdentity Mapis the preferred method because it provides the flexibility to handle bothambiguous(anonymous) andauthenticateddata dynamically. When data is sent via the Web SDK, the primary identity is not hard-coded as a specific single field in the schema definition (like a specific "email" field marked as primary). Instead, the identity information is contained within the identityMap object of the JSON payload.
Adobe Experience Platform'sIdentity Serviceautomatically processes this identityMap. The primary identity is determined based on the contents of the map sent in the hit-for example, the Web SDK can designate the ECID as the primary identity for anonymous hits or a CRM ID as the primary identity once the user logs in.
Therefore, the architect does not need to manually select a fixed field in the schema to be the primary identity; the platform relies on the dynamic identity map to resolve the profile at ingestion time. This approach is essential for supporting the transition from an anonymous visitor to a known customer without requiring separate schema configurations.


質問 # 65
What determines which records become part of the profile during Adobe Real-Time CDP's profile assembly process?

正解:D

解説:
In Adobe Real-Time CDP, the profile assembly process is governed byMerge Policies. When data is ingested from multiple sources, it often results in "profile fragments"-disparate pieces of information about the same individual. The Merge Policy acts as the set of rules that theReal-Time Customer Profileservice uses to determine how these fragments are prioritized and combined into a single, unified view.
A Merge Policy specifies two critical components: theIdentity Stitchingmethod (Private Graph or Co- occurrence) and theAttribute Prioritization. The latter determines which dataset's values "win" in the event of a conflict (e.g., if Dataset A says a user lives in New York and Dataset B says Los Angeles). By associating a dataset with a specific merge policy, the architect ensures that only the data intended for the unified profile is included and that the most accurate, authoritative source is represented.
Options B and C are incorrect because profile assembly is an automated structural process, not a manual selection or a result of segmentation logic. Option D is incorrect because the identity graph defines thelinks between identities, but the Merge Policy is what defines therulesfor the data assembly itself. Therefore, the Merge Policy is the ultimate arbiter of how records are merged and which data points constitute the final
"Active Profile."


質問 # 66
While modeling the real-time customer profile, it is discovered that a single customer profile can have multiple address types (Home, Office, Shipping) as seen from the customer's data warehouse. Given this discovery, what is the best option to choose for modeling the customer addresses for the Real-Time Customer Profile?

正解:A


質問 # 67
A data Engineer wants to use edge segmentation. For doing that, hub profiles related to active edge profiles will be stored on the edge.
How long is the time to live on the edge for these active edge profiles? What is the time to live setting for edge profiles?

正解:C


質問 # 68
What is a best practice for designing a Real-Time Customer Profile in Adobe RT-CDP?

正解:B


質問 # 69
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