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Adobe AD0-E605 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Segmentation and Audience Management	15%	- 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 2: Destinations and Activation	16%	- Destination configuration and types 1. Built-in and custom destinations 2. API and file-based activation - Activation workflows and delivery 1. Data export and scheduling 2. Delivery verification and troubleshooting
Topic 3: 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. Schema design and extension 2. Data types and relationships
Topic 4: Identity and Profile Management	22%	- Identity namespaces and graph 1. Identity configuration 2. Identity stitching and resolution - Profile composition and calculation 1. Profile attributes and segments 2. Merge policies
Topic 5: Data Ingestion	18%	- 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 6: Privacy, Governance and Security	9%	- Data governance framework 1. Consent and compliance management 2. DULE labels and policies - Security and access control 1. Role-based permissions 2. Sandbox management

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Adobe Real-Time CDP Business Practitioner Professional Sample Questions (Q70-Q75):

NEW QUESTION # 70
A retail organization is Introducing an e-commerce channel and would like to integrate the customer's browsing and online purchase data into the Real-Time Customer Profile The data structure of the clickstream event being captured is as follows:

The architect decides to separate 'pages.vislted" and 'purchases' Into different schemas.
Which Experience Data Model XDM schema classes would be used to model the browsing activity and the purchase activity?

A. XDM ExperienceEvent for both browsing and purchase data
B. XDM ExpenenceEvent for browsing data and XDM Individual Profile for purchase data
C. XDM Individual Profilefor browsing data and XDM ExperienceEvent for purchase data
D. XDM ExperienceEvent for browsing data and XDM Product (or purchase

Answer: A

Explanation:
In Adobe Real-Time Customer Data Platform, the classification of data into Experience Data Model (XDM) classes depends on the nature of the information-specifically whether it describes a state or an event. Both
"browsing activity" (page visits) and "purchase activity" are fundamentally behavioral, time-series events that occur at a specific point in time.
TheXDM ExperienceEventclass is purpose-built to capture these "point-in-time" occurrences. For browsing data, each page view is an event with a timestamp and specific attributes (like page name). Similarly, a purchase is a discrete transaction that happens at a particular moment. Modeling both as ExperienceEvents allows theReal-Time Customer Profileto maintain a chronological timeline of a customer's journey, which is essential for calculating journey-based metrics and triggering real-time orchestration.
Option A and B are incorrect because theXDM Individual Profileclass is intended for persistent, slow- changing attributes (such as name, email, or loyalty tier) rather than transactional or behavioral data. Storing purchase data in a profile schema would fail to capture the historical context of multiple transactions. Option D is incorrect because "XDM Product" is typically a lookup schema used to provide descriptive details about a SKU, not to record the act of purchasing itself. By utilizing the ExperienceEvent class for both activities, the architect ensures that the data is optimized for theSegmentation Service, allowing for complex queries like
"customers who viewed a product but did not purchase it within the last 24 hours."

NEW QUESTION # 71
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.)

A. Create separate experience data model schemas for each entity and use nested fields to store related data
B. Create separate experience data model schemas for each entity, use lookup fields for one-to-many relationships, and use arrays to maintain many-to-many relationships
C. Develop a custom schema for each entity, linking them together using relationship identifiers within nested fields of the schema
D. Create separate schemas for each entity and build foreign key relationships similar to the SQL model
E. Create only two schemas: one for Customers and another for all related entities

Answer: A,B

Explanation:
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.

NEW QUESTION # 72
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 a field from the schema and mark it as primary.
B. No, the primary identity will already be in the identity map.
C. No, a field on the schema will automatically be marked.
D. Yes, the architect will select the identity map and mark it as primary.

Answer: B

NEW QUESTION # 73
A data scientist is working with Adobe Real-Time CDP and wants to ensure better monitoring of data streams. Which feature in the Adobe Experience Platform User Interface would the data scientist use to monitor the data ingestion process in real time?

A. Dataset Management Dashboard
B. Datastream Activity
C. Streaming end-to-end Monitoring
D. Data Quality and Compliance Dashboard

Answer: C

Explanation:
For a data scientist or engineer looking to monitor the flow of data from ingestion through to the profile store, Streaming end-to-end Monitoring (Option B)is the specialized UI feature within Adobe Experience Platform. This capability provides a visual representation of data health and throughput as it moves through the platform's various stages.
Unlike standard dataset views, end-to-end monitoring allows users to track high-velocity data streams and identify where potential bottlenecks or failures are occurring-whether at theSource, duringXDM validation, or during the final upsert into theReal-Time Customer Profile. This real-time visibility is critical for ensuring that behavioral data is correctly fueling segmentation and activation use cases.
Option A (Data Quality and Compliance) is focused on governance and attribute completeness over time rather than real-time stream monitoring. Option C (Dataset Management) provides a static view of stored data files and record counts but lacks the temporal "flow" perspective needed for real-time analysis. Option D (Datastream Activity) refers to theEdge Networkconfiguration logs, which monitor data reaching the Edge, butStreaming end-to-end Monitoringis the comprehensive choice for viewing the data's journey through the core Adobe Experience Platform services.

NEW QUESTION # 74
A company based out of California would like to delete profile data from the Adobe Experience Platform (AEP) profile store and data lake based on their customer request. They have reached out to a Real-Time CDP consultant with the list of profiles to perform the deletion task for them.
What is the recommended approach to delete the profile data from AEP?

A. Use the Segment Export feature to delete the profiles from the dataset and profile store
B. Leverage query service, create a query by excluding the profiles shared by customer, delete the batches from dataset, and insert data from query output
C. Leverage privacy service and submit the delete request under CCPA regulation type for a given namespace and identity value
D. Build a custom solution by leveraging the delete entity API to delete the profiles from both data lake and profile store

Answer: C

NEW QUESTION # 75
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