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Adobe AD0-E605 Exam Syllabus Topics:

Topic	Details
Topic 1	Segmentation: Covers methods for building audiences and segments, the various segmentation types and how they operate, and applying use cases to segment activation.
Topic 2	Activation: Covers activation patterns within the CDP, guardrails governing activation, and how on-site personalization is configured and delivered.
Topic 3	Data Ingestion: Covers general and edge data ingestion capabilities within the CDP and advanced architectural techniques for efficient data ingestion.

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Adobe Real-Time CDP Business Practitioner Professional Sample Questions (Q17-Q22):

NEW QUESTION # 17
What are key capabilities of Adobe RT-CDP's data ingestion process? (Select two.)

A. Enabling probabilistic segmentation during ingestion.
B. Restricting ingestion to static customer segments.
C. Streaming real-time data for profile updates.
D. Batch ingestion for large datasets.

Answer: C,D

NEW QUESTION # 18
When sending data through the HTTP API source connector, how would a data engineer troubleshoot to make sure the payload being sent is formatted properly in real time?

A. Use query services to validate payloads before sending them via API
B. All data is ingested and query services reporting identify any records that do not pass custom validation rules
C. Use synchronous validation query parameter to validate payload matches schema
D. Use asynchronous validation query parameter to validate payload matches schema

Answer: C

NEW QUESTION # 19
A digital marketer wants to create an audience that allows personalization of the website in real time. Which method would the marketer need to consider to ensure real-time personalization is achieved effectively?

A. Use Streaming segmentation
B. Use Edge segmentation
C. Use Batch segmentation

Answer: B

Explanation:
For website personalization that needs to happen "in-page" or between page loads with sub-second latency, Edge Segmentationis the required method. While Batch and Streaming segmentation occur in the AEP
"Hub," Edge segmentation is executed directly on theAdobe Experience Platform Edge Network. This is critical because it eliminates the "round-trip" time required to send data to the central data center and back to the user's browser.
Edge Segmentationallows the platform to evaluate segment membership at the point of interaction. When a user lands on a page, the Edge Network uses theEdge Profile(a subset of the full Hub profile) to immediately determine if the user qualifies for a segment based on their current session behavior and historical data. This enables immediate personalization, such as showing a "Welcome Back" banner the instant the user arrives.
Option A (Batch) is unsuitable for real-time needs as it runs every 24 hours. Option B (Streaming) is "near real-time," meaning it updates the Hub profile in seconds or minutes, but it is still too slow for an immediate web-response scenario where milliseconds matter. By using Edge Segmentation, the marketer ensures that the audience qualification is available at the "Edge," providing the fastest possible response time for Adobe Target or custom personalization engines.

NEW QUESTION # 20
A marketer is trying to create an audience that can be streaming evaluated, but it requires they utilize data spanning the last 7 days.
The definition they have is as follows:
- All profiles who have started an application in the last 7 days but
never submitted it (batch logic).
- They must currently live in the mid-west and be actively viewing
credit card options on the website (stream logic).
How best could they build this audience so that it can be streaming qualified?

A. Use manual batch updates to combine the batch logic and stream-based logic into one audience
B. Use an audience for the batch logic and include that in their audience definition with the stream- based logic
C. Use profile computed attributes for batch logic and include that in their audience definition with the stream-based logic
D. Use data distiller to create an attribute using the batch logic and load that to profile and include in their audience definition with the stream-based logic

Answer: B

NEW QUESTION # 21
A marketer would like to create an Audience by ranking the existing set based on the loyalty points, and select the top 1000 profiles. The marketer would also like to enrich the audience with additional attributes like city and gender from a profile enabled record type dataset. The marketer wishes to accomplish all of this using Adobe Experience Platform.
Which method should the marketer use to create an Audience to achieve this?

A. Compose Audience
B. Import Audience
C. Apply filters to create a "Ranked audience" using the dataset
D. Rule-based Audience

Answer: A

NEW QUESTION # 22
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