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Adobe AD0-E605 Exam Syllabus Topics:

Section	Weight	Objectives
Privacy and Data Governance	14%	- Governance and compliance 1. DULE labels and data governance policies 2. Privacy compliance in RTCDP workflows
Audience and Profile Management	38%	- Segmentation and Audiences 1. Audience analysis and validation 2. Create and manage segments 3. Audience activation workflows - Real-Time Customer Profile 1. Profile composition and merge rules 2. Identity namespaces and stitching
Components and Architecture	20%	- Platform architecture fundamentals 1. Data ingestion monitoring and health 2. Schema structure and XDM basics 3. Adobe Experience Platform components overview
Sources and Destinations	28%	- Data ingestion and activation 1. Segment activation to destinations 2. Source configuration and types 3. Destination configuration and types

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Adobe Real-Time CDP Business Practitioner Professional Sample Questions (Q20-Q25):

NEW QUESTION # 20
A marketer views the license usage dashboard first thing in the morning and notices the average profile richness metric is hovering around 300KB per profile when they only have 100KB in their contract. The marketer appropriately identifies a dataset causing the issue and determines they can drop the entire dataset without impacting their marketing use cases. They know the dataset contributes around ~150KB of average profile richness per profile. When the marketer reviews the dashboard license usage dashboard before the end of the day, they notice it has not been updated with the 150KB of richness removed. They confirm the data is deleted from the profile and are confused.
Assuming no other factors are present that are contributing to the average profile richness, why is the dashboard still showing the old value of 300KB?

A. The marketer needs to manually run the "Update license usage" job to refresh the metrics.
B. The marketer needs to wait until the next streaming segmentation job runs.
C. The marketer needs to re-enable the deleted dataset for the dashboard to reflect the changes.
D. The marketer forgot the license usage dashboard only updates one time per day.

Answer: D

NEW QUESTION # 21
A data engineer is looking to ingest real-time streaming data into Adobe Experience Platform, sourced from a third-party API. What would be an appropriate strategy to effectively ingest this data?

A. Use HTTP API source connector for direct data Ingestions
B. Implement streaming ingestion via a standard Streaming Connection
C. Implement streaming ingestion via a custom Edge Network connection
D. Use the Database Source Connector with frequent intervals

Answer: B

Explanation:
For real-time data ingestion from a third-party API (non-website/app), the standard best practice in Adobe Experience Platform is to establish aStreaming Connection. This creates a uniqueStreaming Endpoint (URL)that allows the third-party system to push data directly into AEP using POST requests. As soon as the data is received at this endpoint, it is validated against the XDM schema and made available to theReal-Time Customer Profilein seconds.
Option A is incorrect because database connectors are batch-based, not real-time. Option B is incorrect because the Edge Network is primarily for client-side collection (Web/Mobile SDK), not for server-to-server API ingestion. Option D is a distractor; while the process uses HTTP, the formal strategy is defined as a Streaming Connectionwithin the Source catalog. Using a standard Streaming Connection is the most effective strategy because it provides built-in monitoring, error handling, and high-throughput capabilities designed specifically for high-velocity behavioral data that needs to be reflected in the profile immediately for real-time personalization.

NEW QUESTION # 22
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. Data Quality and Compliance Dashboard
C. Datastream Activity
D. Streaming end-to-end Monitoring

Answer: D

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 # 23
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. Build a custom solution by leveraging the delete entity API to delete the profiles from both data lake and profile store
C. Leverage privacy service and submit the delete request under CCPA regulation type for a given namespace and identity value
D. Leverage query service, create a query by excluding the profiles shared by customer, delete the batches from dataset, and insert data from query output

Answer: C

NEW QUESTION # 24
A company wants to analyze the audience they have created before they activate it to an upcoming Email campaign.
What is the recommended approach to extract this audience?

A. Create a query via data distiller and extract the resulting audience
B. Create a segment, run the segment export job, and share the audience through dataset export
C. Create a segment and configure a destination to extract the audience
D. Extract the audience using a custom HTTP API

Answer: C

NEW QUESTION # 25
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