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Most Recent Adobe AD0-E600 Exam Dumps
Prepare for the Adobe Experience Platform Technical Foundations exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Adobe AD0-E600 exam and achieve success.
The questions for AD0-E600 were last updated on Apr 2, 2025.
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A daily scheduled segmentation job has already run and completed. However, the data engineer recently created a new segment.
Segment Name: Profile Qualification
Segment ID: Safe34ae-Sc98-4Sl3-8a1d-67ccaaS4bc87
The data engineer wants to evaluate this segment via API.
How should the data engineer proceed?
A)
B)
C)
A data engineer exports segmented Real-time Customer Profile data to a new dataset called "Profile Export". The data engineer needs to directly download the data from the Profile Export dataset using the Data Access API.
Which file format is supported for this use case?
JSON is the file format supported for this use case. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-access-api/data-access-api/data-access-api-overview.html?lang=en#supported-file-formats
A data engineer is required to partially ingest data via a Source Connector. Which three source connectors are permitted for this task? (Choose three.)
A data engineer is ingesting time-series data in CSV format from a CRM system. The source data contains a "subscription" field that contains what level of subscription the customer has purchased.
The data is ingested into a target field called "subscriptionLevel". which is an enum field that accepts the following values: "Lite*. "Standard", and "Pro''.
The data engineer knows that the CSV files contain some rows that do not conform to the above enum. Instead of rejecting those rows, the data engineer wants to transform non-conforming fields to "Standard".
Which mapping function(s) will accomplish this?
you can use Data Prep functions to compute and calculate values based on what is entered in source fields. The iif function returns one value if a condition is true and another value if it is false.
https://experienceleague.adobe.com/docs/experience-platform/data-prep/functions.html?lang=en
A data engineer wants to connect a new data source into AEP using an Amazon S3 Bucket. The S3 Bucket currently will be added with the daily deltas.
The historical data and the recurrent deltas must be imported.
In which way can this task be performed with minimal effort?
This will allow you to import both historical data and recurrent deltas without creating multiple dataflows.
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