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Adobe AD0-E605 Exam Overview:

Certification Vendor:Adobe
Exam Name:Adobe Real-Time CDP Business Practitioner Professional
Exam Number:AD0-E605
Real Exam Qty:50 scored questions (may include unscored pilot questions)
Passing Score:35/50 (commonly reported on official certification page)
Exam Price:$125 (global) / $95 (India)
Exam Duration:100 minutes (approx. 1 hour 40 minutes)
Related Certifications:Adobe Real-Time CDP Developer Expert
Adobe Journey Optimizer Business Practitioner Professional
Available Languages:English
Certificate Validity Period:2 years (renewable via Adobe certification renewal modules)
Exam Format:Multiple choice, Online proctored exam, Scenario-based questions
Recommended Training:Adobe Experience League - Real-Time CDP Learning Path
Adobe Experience Platform Fundamentals Training
Exam Registration:Adobe Certification Portal (Registration & Scheduling)
Adobe Experience League Certification Overview
Sample Questions:Adobe AD0-E605 Sample Questions
Exam Way:Online proctored (requires camera, microphone, secure browser, and system check via Adobe certification proctoring platform)
Pre Condition:Recommended 6–12 months experience working with Adobe Real-Time CDP or Adobe Experience Platform, including segmentation and audience activation tasks.
Official Syllabus URL:https://certification.adobe.com/certification/real-time-cdp-business-practitioner-professional2/1351

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Adobe AD0-E605 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • Data Ingestion: Covers general and edge data ingestion capabilities within the CDP and advanced architectural techniques for efficient data ingestion.
トピック 2
  • Segmentation: Covers methods for building audiences and segments, the various segmentation types and how they operate, and applying use cases to segment activation.
トピック 3
  • Administration: Covers monitoring tools, alerts, license usage types, and use cases for Attribute-Based Access Control (ABAC) within Adobe RT-CDP.
トピック 4
  • Real-Time Customer Profile: Covers how profiles are assembled and composed, how the Identity Graph works, and the differences between edge and hub profiles.
トピック 5
  • Governance: Covers data governance best practices for Adobe RT-CDP implementations and managing data across the platform's various services.

Adobe Real-Time CDP Business Practitioner Professional 認定 AD0-E605 試験問題 (Q15-Q20):

質問 # 15
A financial institution is using Adobe RT-CDP to activate data to an ad platform. The dataset includes sensitive information such as account balances.
What guardrails should they apply during activation?

正解:C


質問 # 16
A gaming company wants to send user's gaming event data from the console to Adobe Experience Platform through Adobe Experience Platform Server API and Edge Network for serving personalized experiences at a later stage. In the Server API call what is the right endpoint to use to send the data to Adobe Experience Platform after the company configures the necessary Schema, Dataset and Datastream?

正解:A

解説:
When utilizing theAdobe Experience Platform Server-Side APIto communicate with theEdge Network, the most critical parameter is theDatastream ID(internally referred to in the API as configId). The Datastream acts as the central router on the Edge Network; it identifies which Experience Platform sandbox, dataset, and schema the incoming data should be mapped to, as well as which other Adobe solutions (like Target or Analytics) should receive the data.
The correct endpoint structure is POST https://server.adobedc.net/ee/v2/interact?configId=
{DATASTREAM_ID}. Options A and B are incorrect because the Edge Network does not accept raw data targeted directly at a Dataset or Schema ID; those mappings are handled server-side within the Datastream configuration to simplify the client-side (or console-side) implementation. Option D is incorrect because while a sandbox name might be part of a header or organizational context, it is not the primary routing parameter for the Edge Network interaction. By targeting the configId, the gaming company ensures that their event data is correctly processed by theEdge Network Service, allowing for real-time profile enrichment and future personalization.


質問 # 17
A data engineer has been loading profile fragments into the Real-Time Customer Profile on a daily basis using the REST API with data structured based on a predefined schema. Recently, there was an update to add new attributes to the schema, including a new field for 'Preferred Channel'. The data engineer ran an ingestion process with the new schema changes and noticed that the new attribute is not appearing in the Real-Time Customer Profile for some profiles. What should the data engineer investigate first to troubleshoot this issue?

正解:A

解説:
When new attributes are added to anXDM Schema, several technical failure points must be verified to ensure data flows correctly into theReal-Time Customer Profile. The first and most critical investigation step is to review the schema and the ingestion payload mapping.
In Adobe Experience Platform, simply adding a field to a schema does not automatically populate it; the ingestion source (the REST API payload in this case) must have the new field mapped exactly to the correct XDM path. If there is a mismatch in the field name (e.g., preferred_channel vs. preferredChannel) or if the field was added to the schema but not "enabled for profile," the data will land in theData Lakebut will be ignored by theProfile Service.
Option A and D are unlikely to be the cause if other parts of the profile are updating correctly. Option C is rarely the issue for specific field missingness, as capacity issues usually result in total ingestion failure or significant latency across all fields. By verifying thePayload-to-XDM mappingand ensuring the schema is marked forProfile, the engineer can confirm that the data is being correctly recognized and stored within the customer's unified view.


質問 # 18
What features support data governance in Adobe RT-CDP? (Select two.)

正解:B、C


質問 # 19
A multinational company is transitioning its on-premises data warehouse to the Adobe Experience Platform in an attempt to reap the benefits of real-time data and cloud scalability. The current data warehouse includes a complex set of relational databases with numerous tables including Orders, OrderDetails, Customers, Products, and Suppliers. The Orders and OrderDetails are interconnected with a one-to-many relationship, while the rest of the tables have many-to-many relationships.
Which two approaches should be followed while translating this release database management system (RDBMS) schema to Adobe Real-Time Customer Data Platform's (Adobe Real-Time CDP) NoSQL data model, considering the maintenance of data relationships? (Choose two.)

正解:C、E

解説:
Translating a relational (RDBMS) model to the Adobe Experience Platform's NoSQL-basedXDMrequires a shift from "joined tables" to "hierarchical and linked objects." Approach Cis essential for handling 1:N relationships where the data is highly coupled, such asOrders and OrderDetails. In XDM, rather than having a separate table for line items, you should usenested fields(or an array of objects) within the Order schema. This ensures that when an "Order" event is retrieved, all its details are available in a single document, maximizing performance for real-time segmentation and activation without needing complex joins.
Approach Eaddresses the broader relational structure. For entities likeProducts or Suppliers, Adobe utilizes Lookup Schemas. By defining a relationship between an ExperienceEvent (the Order) and a Lookup Schema (the Product), the Real-Time Customer Profile can "hydrate" event data with descriptive attributes from the lookup table at the time of processing. Furthermore, for many-to-many (N:N) relationships, XDM utilizes arrays of strings or objectsto store multiple identifiers within a single profile or event record. This denormalized approach is fundamental to NoSQL scalability, as it allows the platform to maintain data integrity and relationship context while providing the sub-second query speeds required for real-time use cases.


質問 # 20
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