AD0-E600 Exam Dumps - Adobe Experience Platform Technical Foundations

Question # 4

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?

Trigger an API event into Journey Optimizer and run a Journey to retrieve the product data

Use a SQL client in the Customer Care platform and connected into the AEP Query Service

Use a Runtime function in Adobe I/O that retrieves the product data using the Data Access API

Enable the products dataset for profile and use the Real-time Profile API

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Question # 5

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

CSV

Parquet

Blob

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Question # 6

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

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.

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.

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.

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.

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Question # 7

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?

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.

In the Identity Graph Viewer, look up the customerlD.

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

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

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