Salesforce Exam Marketing Cloud Intelligence Topic 9 Question 30 Discussion

Actual exam question for Salesforce's Marketing Cloud Intelligence exam

Question #: 30
Topic #: 9

[All Marketing Cloud Intelligence Questions]

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 Interest stage?

Show Suggested Answer

Suggested Answer: B, D, E

In Marketing Cloud Intelligence, data stream types are templates that define how data should be structured within the system. Each data stream type:

B . Includes at least one entity, which is a fundamental component of the data stream and represents a collection of related data points.

D . Has its own main entity, which is the primary focus of that particular data stream type and serves as the central point of reference for the associated data.

E . Contains its own unique set of measurements that are specific to the type of data being captured within that stream. These measurements represent quantitative data that can be analyzed within the context of the main entity and other dimensions present in the data stream.

A is incorrect because not every data stream type includes the Media Buy entity---this is specific to certain types of advertising data streams. C is incorrect because not all data stream types share at least one mutual measurement; measurements are typically unique to the data stream's focus and purpose.

by Irma at Mar 22, 2025, 04:37 PM

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