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Adobe Real-Time CDP Developer Expert Questions 26–30 (page: 7)

Updated On: 10-Feb-2026

A data engineer is setting up the streaming data ingest into Adobe Experience Platform from Adobe Analytics to process the clickstream data in near real-time.

Which two components would the data engineer primarily focus on in order to successfully ingest this data with the least amount of data latency? (Choose two.)

  1. Defining a mapping strategy for Experience event schemas
  2. Monitoring the latency of data delivery from Adobe Analytics to Adobe Experience Platform
  3. Determining the data ingestion architecture
  4. Validating the transformation services' latency and volume threshold

Answer(s): A,B

Explanation:

Defining a mapping strategy for Experience event schemas: Essential for ensuring clickstream data is ingested correctly into the appropriate XDM ExperienceEvent schema for Real-Time Customer Profile.
Monitoring the latency of data delivery from Adobe Analytics to Adobe Experience Platform: Critical to track and minimize delays during streaming ingestion, ensuring near real-time data availability.



A developer would like to use Edge ingestion.

In which case is this capability available?

  1. For every source except cloud storage sources
  2. For Adobe Experience Platform Web SDK or Adobe Experience Platform Mobile SDK
  3. Only available for web data ingested using the Edge Network Services
  4. For every data ingestion that uses HTTP API ingestion method

Answer(s): B

Explanation:

Edge ingestion is available when using the Adobe Experience Platform Web SDK or Mobile SDK. These SDKs send data directly to the Adobe Experience Platform Edge Network, enabling real-time ingestion and personalization with minimal latency.



An insurance company is utilizing Adobe Real-Time CDP to aggregate and process customer data from different source systems, including the customer management system and the claims database. The company wants to enhance this solution by adding real-time event streams from its website and mobile app to the Customer Data Platform.

However, this real-time event data will contain both standard events such as page views and custom events unique to the insurance industry, such as policy application starts and completions. Therefore, a data mapping solution that can handle both kinds of events must be identified.

What would be a suitable approach to incorporate the real-time event data into Adobe Real-Time CDP?

  1. Use database source connectors to map, and ingest both types of data
  2. Stream in data using a WebSocket source, and adjust schema mapping as per event type
  3. Create streaming sources for standard and custom events, and map data to the appropriate Experience Data Model (XDM) schemas

Answer(s): C

Explanation:

The suitable approach is to create streaming sources for both standard and custom events and map them to the appropriate XDM schemas. Adobe Real-Time CDP supports streaming ingestion of event data, and mapping ensures that standard events (e.g., page views) align with predefined XDM ExperienceEvent schemas while custom insurance-specific events are captured through extended or custom XDM schemas. This maintains consistency and flexibility in handling diverse event types.



A digital media organization needs to send the raw web event data to a third-party application using the Event Forwarding feature.

Which two configurations are required for Event Forwarding to work? (Choose two.)

  1. Data Prep
  2. Dataset
  3. Datastream
  4. Experience Data Model (XDM) Schema

Answer(s): C,D

Explanation:

Datastream: Required to route event data from the Web SDK or Mobile SDK to Adobe Experience Platform and enable Event Forwarding.
Experience Data Model (XDM) Schema: Needed to structure and validate the incoming event data so that it can be processed and forwarded correctly.



A data engineering team at a digital marketing firm has started setting up their data streams to be ingested into Adobe Real-Time CDP. During initial testing, it was observed that a specific set of data, coming from an Edge Network application, is not being properly ingested, even though it has been configured according to documentation. The data structure contains a JSON format with nested fields for both profile and event data.

Given best practices for Edge ingestion, which is a possible cause for this issue?

  1. The ingestion failure is due to improper extraction of event data.
  2. The nested JSON format is incompatible with Edge ingestion.
  3. They have not configured the Experience Data Model (XDM) schema as per the nested JSON structure.
  4. There is a limit to the amount of data ingested per hour.

Answer(s): C

Explanation:

A common cause of ingestion failure in Edge ingestion is when the Experience Data Model (XDM) schema is not properly configured to match the nested JSON structure. Edge ingestion requires that the incoming payload aligns with the defined XDM schema; if the schema does not reflect the nested profile and event data correctly, the ingestion will fail even if the datastream is otherwise set up properly.



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