Free AD0-E600 Exam Questions - Easiest Way for Success

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Total 50 Questions | Updated On: Sep 14, 2024

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Question 1

Time-series data has been ingested and linked with a Real-time Customer Profile.

A data engineer wants to look up only the most recent time-series event associated with the Luma ID '100'.

Which API call will return the desired event object?

A :

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B :

Other-Image-6670e2798-2b0a-420f-a131-c291e877f50f

C :

Other-Image-8670e2798-2b0a-420f-a131-c291e877f50f

D :

Other-Image-10670e2798-2b0a-420f-a131-c291e877f50f

Answer: D

Question 2

Which subset of data appears when clicking the 'Preview dataset' button on a Dataset page?

A : A sample of all successful batches in the dataset in the past 7 days

B : A sample of the data structure of the XDM schema

C : A sample of the most recent successful batch in the dataset

D : A sample of all successful and failed batches in the dataset

Answer: C

Question 3

A data architect creates two XDM schemas: Schema A and Schema B.

What are the two requirements for defining a schema relationship so that Schema A references Schema B for use in segmentation? (Choose two.)

A : Schema A and Schema 6 must each be enabled for Real-time Customer Profile.

B : Schema A and Schema B must each have a primary identity.

C : Schema A must belong to the same schema class as Schema B.

D : Schema A and Schema B must each have datasets associated with them.

E : Both schemas should have the same fields marked as identities.

Answer: B,D

Question 4

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

Answer: C

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.

Answer: D

Page: 1 / 10

Total 50 Questions | Updated On: Sep 14, 2024

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