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Adobe Experience Platform Technical Foundations

Last Update 19 hours ago Total Questions : 50

The Adobe Experience Platform Technical Foundations content is now fully updated, with all current exam questions added 19 hours ago. Deciding to include AD0-E600 practice exam questions in your study plan goes far beyond basic test preparation.

You'll find that our AD0-E600 exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these AD0-E600 sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Adobe Experience Platform Technical Foundations practice test comfortably within the allotted time.

Question # 4

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?

A.

format(p'atosaprod.custometCreateDate.dd-MM-yyyy')

B.

format(date(_platosaprod.customerCreateDate),'dd-MM-yyyy')

C.

dformaUdateLP'atosaprod.customerCreateDateJ.'dd-MM-yyyy')

D.

date(_platosaprod.customerCreateDate.'dd-MM-yyyy')

Question # 5

What is the difference between a data science training run and a data science scoring run?

A.

A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A training run requires that a scoring run has occurred.

B.

A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A scoring run requires that a training run has occurred.

C.

A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A scoring run requires that a training run has occurred.

D.

A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run has occurred.

Question # 6

A data engineer builds a segment based on Loyalty Status = Gold attribute and a purchase in the last 7 days. To validate that this segment is working, the engineer logs in to the test website and makes a purchase Gold Loyalty Status.

In AEP. how can the data engineer validate that the test customerlD made it into the segment near real-time?

A.

Run a Query in Query service using the segment criteria (Loyalty Status = Gold attribute and a purchase in the last 7 days) for the dataset in question.

B.

In the Identity Graph Viewer, look up the customerlD.

C.

Go to Segments > choose the segment > search for the profile in the samples below.

D.

Go to Profiles > Browse and input my customerlD. Look at the segment membership tab.

Question # 7

A data engineer must set up a Streaming Connection with new authentication via the AEP Ul to stream non XDM data into an existing Dataset. How should the data engineer proceed?

A.

Sources > Streaming > HTTP API > New Account > Add Data > Select Data > Select Dataset > Finish

B.

Sources > Streaming > HTTP API > Add Data > New Account > Select Data > Map Fields to XDM > New Dataset > Finish

C.

Destination > Streaming > HTTP API > New Account > Select Data > Map Fields to XDM Select Dataset > Finish

D.

Sources > Streaming > HTTP API > Add Data > New Account > Select Data > Map Fields to XDM > Select Dataset > Finish