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Question 1

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?

ARun 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.

BIn the Identity Graph Viewer, look up the customerlD.

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

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

Correct answer: D

The data engineer can go to Profiles > Browse and input my customerlD. Look at the segment membership tab to validate that the test customerlD made it into the segment near real-time. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/segmentation-quickstart.html?lang=en#step-3-validate-the-segment

Question 2

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?

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

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

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

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

Correct answer: B

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

Question 3

A data engineer is ingesting the transactional information from an ecommerce platform through a daily feed. In AEP, one Experience Event-based schema will collect the purchase events from this feed.

The eventType field of the schema must be populated with "commerce.purchases' if in a CSV record in which the column 'pure ha sesf arid ate' and 'purchaseenddate" happen on the same day, If the "purchasee/irfdate" is set to a later date, the eventType should be *commerce._orgtenant.cancer.

Both dates follow the same format "yyyy-MM-dd'T'HH:mm:ss.SSS'Z~. and the "purchaseenddate' is always populated.

How should the data engineer create a Calculated Field that can be used to populate the eventType according to the required logic?

A)

B)

C)

D)

AOption A

BOption B

COption C

DOption D

Correct answer: D

Question 4

A data engineer wants to connect a new data source into AEP using an Amazon S3 Bucket. The S3 Bucket currently will be added with the daily deltas.

The historical data and the recurrent deltas must be imported.

In which way can this task be performed with minimal effort?

ACreate a one-time dataflow for the historical data and one scheduled dataflow for the deltas

BCreate one scheduled dataflow and enable partial ingestion

CCreate one scheduled dataflow and enable the backfill

DCreate one scheduled dataflow for the deltas and import the historical data through a data ingestion workflow

Correct answer: B

This will allow you to import both historical data and recurrent deltas without creating multiple dataflows.

Question 5

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.)

ATo.bigint

BTo.object

CTo .integer

DTo.float

ETo_decimal

Correct answer: D, E

The two functions that a data engineer could use to convert string fields to numeric fields while keeping precision of the data in Adobe Experience Platform are To.float and To_decimal.

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