Adobe AD0-E600 Exam
Adobe Experience Platform Technical Foundations (Page 5 )

Updated On: 1-Feb-2026

A marketer needs to quickly validate that data ingested into a dataset processed to Profile successfully. Using the AEP in which two ways can the marketer perform this task? (Choose two.)

  1. Sources > Data Flow
  2. Query service
  3. Dataset > Activity
  4. Monitoring > Batch
  5. Identities > Browse

Answer(s): A,C

Explanation:

To validate that data ingested into a dataset processed to Profile successfully, a marketer can use the following two ways in Adobe Experience Platform (AEP):
Sources > Data Flow
Dataset > Activity
Sources > Data Flow: This option allows the marketer to validate that data ingested into a dataset processed to Profile successfully by checking the data flow. The marketer can check the data flow to ensure that the data is being ingested correctly and that the data is being processed to Profile successfully.
Dataset > Activity: This option allows the marketer to validate that data ingested into a dataset processed to Profile successfully by checking the activity of the dataset. The marketer can check the activity of the dataset to ensure that the data is being ingested correctly and that the data is being processed to Profile successfully.



A data engineer is using Data Prep to format data for ingestion. The data engineer needs to load Date/Time as Date values for a field called CustomerCreateDate. The use of this field does not require a time component and as is String based.
The JSON value in this example is '.platosaprod.customerCreateDateVZOOS-11 -04 15:44".
Which Data Prep functions and order should the data engineer use to format the date without the time component?

  1. format(p'atosaprod.custometCreateDate.dd-MM-yyyy')
  2. format(date(_platosaprod.customerCreateDate),'dd-MM-yyyy')
  3. dformaUdateLP'atosaprod.customerCreateDateJ.'dd-MM-yyyy')
  4. date(_platosaprod.customerCreateDate.'dd-MM-yyyy')

Answer(s): B

Explanation:

The data engineer should use the date function to convert the string to a date object and then use the format function to format the date object to the desired format1.



A data engineer does not have access to the AEP Ul and must create a new Dataset and upload CSV data.
Which API requests will allow the data engineer to upload this data? A)



B)



C)

  1. Option A
  2. Option B
  3. Option C

Answer(s): C



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)



D)

  1. Option A
  2. Option B
  3. Option C
  4. Option D

Answer(s): D



An organization it migrating an m-house built customer database to Adobe Experience Platform. As part of the migration the services that are connected into the customer database must continue to work. One of those services is a Customer Care platform that is pulling the customer and product details using a REST API call. In AEP. the product details will be modeled using a custom XDM Class. The primary identity, product ID. will be linked to a Namespace with the type "Non People Identifier". That field will be used to create a relationship with the main Profile XDM schema.
Which option should be used to allow the Customer Care to retrieve product details through the product ID?

  1. Trigger an API event into Journey Optimizer and run a Journey to retrieve the product data
  2. Use a SQL client in the Customer Care platform and connected into the AEP Query Service
  3. Use a Runtime function in Adobe I/O that retrieves the product data using the Data Access API
  4. Enable the products dataset for profile and use the Real-time Profile API

Answer(s): D

Explanation:

The products dataset can be enabled for profile and used with the Real-time Profile API to retrieve product details using the product ID.


Reference:

https://experienceleague.adobe.com/docs/experience-platform/profile/data- ingestion/datasets.html?lang=en#enabling-datasets-for-profile



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