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Question 1

An implementation engineer has been asked to perform QA for a standard file ingestion, done by the client.

The source file that was ingested can be seen below:

The number of rows added to this data stream is 3. What could have led to this discrepancy?

AAll fields are mapped except for the Media Buy Key.

BAll fields are mapped except for the Creative Name

CAll fields are mapped except for the Media Buy Name.

DAll fields are mapped except for the Campaign Key

Question 2

An implementation engineer is requested to integrate the following files:

File A:

File B:

The client would like to link the two files in order to view the two KPIS (Tasks Completed' and 'tasks Assignmed') alongside'Employee Name' and/or 'Squard'.

A Parent-Child configuration was set between the two.

Which two statements are correct?

AThe two files cannot be Joined as they hold different measurements

BThe two files cannot be joined as they hold different dates

CThe join can be successful even if 'empjd' isn't mapped and employee.name' is mapped to the same entity name in both data streams

DAny one of the files can potentially be set as the Parent data stream

EThe two files were uploaded to a different Generic type

Question 3

An implementation engineer is requested to create the harmonization field - Magician

This field should come from multiple Twitter Ads data streams, and should follow the below logic:

Using the Harmonization Center, the engineer created a single Pattern for Campaign Name. What other action should the engineer take to meet the requirements?

ACreate a second Pattern for Media Buy Name and apply two Classification Rules (one for 'Messi' and another for Ronaldo') for the final Harmonized
Dimension.

BCreate a second Pattern for Media Buy Name

CCreate a second Pattern for Media Buy Name and add a validation list (with the two values) for the final Harmonized Dimension.

DCreate a second Pattern for Media Buy Name and apply a Classification Rule (with the two values) for the final Harmonized Dimension

Question 4

A technical architect is provided with the logic and Opportunity file shown below:

The opportunity status logic is as follows:

For the opportunity stages ''Interest'', ''Confirmed Interest'' and ''Registered'', the status should be ''Open''.

For the opportunity stage ''Closed'', the opportunity status should be closed Otherwise, return null for the opportunity status.

Given the above file and logic and assume that the file is mapped in the OPPORTUNITIES Data Stream type with the following mapping:

''Day'' --- ''Created Date''

''Opportunity Key'' + Opportunity Key

''Opportunity Stage'' --- Opportunity Stage

A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan 11th. What is the number of 'opportunities in the Confirmed Interest stage?

Question 5

A technical architect is provided with the logic and Opportunity file shown below:

The opportunity status logic is as follows:

For the opportunity stages ''Interest'', ''Confirmed Interest'' and ''Registered'', the status should be ''Open''.

For the opportunity stage ''Closed'', the opportunity status should be closed

Otherwise, return null for the opportunity status.

Given the above file and logic and assuming that the file is mapped in a GENERIC data stream type with the following mapping

''Day'' --- Standard ''Day'' field

''Opportunity Key'' > Main Generic Entity Key

''Opportunity Stage'' --- Main Generic Entity Attribute

''Opportunity Count'' --- Generic Custom Metric

A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan 11th. What is the number of 'opportunities in the Confirmed Interest stage?

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