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Question 16

A client has provided you with sample files of their data from the following data sources:

1.Google Analytics

2.Salesforce Marketing Cloud

The link between these sources is on the following two fields:

Message Send Key

A portion of: web_site_source_key

Below is the logic the client would like to have implemented in Datorama:

For ‘web site medium’ values containing the word “email” (in all of its forms), the section after the “_” delimiter in ‘web_site_source_key’ is a 4 digit

number, which matches the 'Message Send Key’ values from the Salesforce Marketing Cloud file. Possible examples of this can be seen in the

following table:

Google Analytics:

Salesforce Marketing Cloud:

The client's objective is to visualize the mutual key values alongside measurements from both files in a table.

In order to achieve this, what steps should be taken?

Options:

A.

Within both files, map the desired value to Custom Classification Key as follows

Salesforce Marketing Cloud: map entire Message Key to Custom Classification Key.

Google Analytics: map the extraction logic to Custom Classification Key.

B.

Create a Web Analytics Site custom attribute and populate it with the extraction logic. Create a Data Fusion between the newly created attribute and the Message Send Key.

C.

Upload the two files and create a Parent-Child relationship between them. The Override Media Buy Hierarchy checkbox is checked in Google Analytics.

D.

Create a Web Analytics Site Source custom attribute and populate it with the extraction logic. Create a Data Fusion between the newly created attribute and the Message Send Key.

Question 17

An implementation engineer has been asked by a client for assistance with the following problem:

The below dataset was ingested:

However, when performing QA and querying a pivot table with Campaign Category and Clicks, the value for Type’ is 4.

What could be the reason for this discrepancy?

Options:

A.

The measurement ‘Clicks’ is set as a percentage.

B.

A mapping formula was populated, indicating not to bring Type! values.

C.

The aggregation function is set as AVG

D.

The aggregation function is set as LIFETIME

Question 18

Which two statements are correct regarding the Parent-Child configuration?

Options:

A.

Parent-Child configurations can cause performances issues

B.

A Parent-Child cannot be configured between an Ads data stream type and a Conversion Tag one.

C.

Parent-Child links different tables based on shared key values

D.

Parent-Child allows sharing both dimensions and measurements

Page: 4 / 4
Exam Name: Marketing Cloud Intelligence Accredited Professional Exam
Last Update: Dec 22, 2024
Questions: 61
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