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A data engineer is bringing in audience definitions into Adobe Experience Platform from external sources. Which standard Experience Data Model (XDM) class should the data engineer use?

A.

Segment Definition

B.

XDM ExperienceEvent

C.

XDM Individual Profile

D.

Profile Definition

A data engineer has a file they must ingest with all string fields. The engineer must keep precision of the data when converting string fields to numeric fields. Which two functions could the the data engineer use when making this conversion? (Choose two.)

A.

To.bigint

B.

To.object

C.

To .integer

D.

To.float

E.

To_decimal

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')

An AEP expert has been tasked with a last-minute request to send a campaign. The AEP expert needs to upload a CSV file with the customer list that will be affected through the campaign, create the segments based on a briefing, and share those segments with Adobe Campaign and Facebook Custom Audiences. The brief also includes the segment volumes.

Before sharing the segments, the AEP expert needs to make sure that the segment volumes match the briefing.

What should the AEP do right after creating the segments to get the volumes?

A.

Run a Segment Job through the API for the segments created

B.

Use the qualified profiles value that appears in the Segment builder

C.

Use the Profiles over time graph that appears on the segment details

D.

Create an AEP dashboard with an Audience Size widget and select the corresponding segments

What is model scoring in the Data Science Workspace?

A.

Building and evaluating a model

B.

Engineering features for a model

C.

Building a recipe

D.

Applying a model to a data set