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NEW QUESTION # 39
An Adobe Real-Time CDP (RTCDP) administrator would like to better control how downstream marketers enable segments for activations.
What next steps should the administrator take to better protect the dataset from being misused in activations?
Answer: B
NEW QUESTION # 40
A data engineer is troubleshooting an issue where clickstream data being ingested via Adobe's Web SDK into Adobe Real-Time CDP is not populating the desired segment. The segment is looking for visitors who have added an item to their cart but have not made a purchase in over 30 days. The source data consists of user interactions, collected in real-time. It is available in a structured format and includes information like click timestamp, visitor ID, event type (page view, item added to cart, purchase, etc.), and item details.
What is the possible cause for the error when trying to create the Edge Segment?
Answer: A
Explanation:
Adobe Experience PlatformEdge Segmentationis designed for ultra-low latency personalization and carries specific architectural guardrails that differ from Hub-based (Batch or Streaming) segmentation. One of the primary limitations of Edge Segmentation is thelookback windowand the complexity of time-based event relationships.
Edge segmentation is optimized for "in-session" or very recent cross-session behavior. A segment requiring a
30-day lookbackor a specific duration of inactivity (over 30 days) between two discrete events exceeds the current technical capabilities of the Edge Network's real-time evaluation engine. Edge segments typically support shorter lookback windows (typically up to 24 hours for certain attributes) and are intended to react to the "current" state of the user.
Option B is incorrect because Web SDK automatically includes timestamps. Option C is incorrect because segments are evaluated against ingested data based on rules, not manual "population" flags during ingestion.
Option D is unlikely as the prompt implies the data is being ingested but just not populating the segment.
Therefore, the "30 days" logic is the root cause; while this segment would work perfectly as aBatch Segment in the Hub, it is ineligible forEdge Segmentationdue to the memory and processing requirements of maintaining a 30-day state at the network edge.
NEW QUESTION # 41
A company has completed their implementation of Adobe Experience Platform (AEP) and is successfully onboarding data and profiles. The company's data steward is reviewing the license dashboard and notices that Addressable Audience is significantly exceeding the license amount.
The data steward must take steps to keep Addressable Audience in line with the license amount.
Which two mechanisms are available for the data steward to reduce the size of Addressable Audience in AEP for profiles that have already been onboarded? (Choose two.)
Answer: A,C
NEW QUESTION # 42
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?
Answer: A
NEW QUESTION # 43
A customer has an ongoing scheduled batch dataflow (S3 source connector) that runs in every 8 hours starting
2 PM UTC. The customer requested for a schedule update to change the start time to 3 PM UTC and to run in every 6 hours. Which is the best possible solution to achieve that?
Answer: D
Explanation:
In Adobe Experience Platform, theDataflow User Interface (UI)currently has limitations regarding the modification of an active dataflow's schedule once it has been established. To update the "start time" and
"frequency" of an existing batch dataflow without deleting it and losing historical context, theFlow Service APImust be used.
By performing aPATCH requestto the /flows endpoint, a developer can update the schedule object within the dataflow's JSON definition. This approach is superior to Options A and C because it maintains the existing dataflow ID and configuration, avoiding the "double ingestion" or "gaps" that can occur when creating new dataflows. Option B is incorrect as the current UI allows for very limited schedule edits (often only frequency, but not the base start time for certain connectors). Using the Flow Service API is the most efficient and
"clean" solution, ensuring that the S3 source connector continues to function with the updated requirements of
6-hour intervals starting at 3 PM UTC while preserving all lineage and monitoring history.
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NEW QUESTION # 44
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