Salesforce Marketing-Cloud-Intelligence Exam Dumps

Get All Marketing Cloud Intelligence Accredited Professional Exam Questions with Validated Answers

Marketing-Cloud-Intelligence Pack
Vendor: Salesforce
Exam Code: Marketing-Cloud-Intelligence
Exam Name: Marketing Cloud Intelligence Accredited Professional
Exam Questions: 63
Last Updated: November 20, 2025
Related Certifications: Accredited Professional
Exam Tags: Marketing Cloud, Customer relationship management (CRM), Cloud computing Professional Salesforce marketing professionals
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Free Salesforce Marketing-Cloud-Intelligence Exam Actual Questions

Question No. 1

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?

Show Answer Hide Answer
Correct Answer: D

pivot table is filtered on January 11th, we refer to the Opportunity file and see that there are no records for January 11th. Thus, there would be zero opportunities in the Confirmed Interest stage on that date. The Salesforce Marketing Cloud Intelligence's pivot table feature allows for the display of counts of entities based on the filtered criteria, which in this scenario would show zero since no records exist for the filtered date. Reference: Salesforce Marketing Cloud Intelligence documentation on pivot table functionalities.


Question No. 2

Which three statements describe Overarching Entities? 03m 23s

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Correct Answer: B, C, E

Overarching Entities in Salesforce Marketing Cloud Intelligence are designed to provide a high level of data organization that spans across multiple data streams. The key points about Overarching Entities are:

B . Relationship Types: Overarching entities can have either a Many-to-Many or One-to-Many relationship with the main entity, which allows for flexible data modeling and relationship definitions based on the nature of the data and how it should be analyzed and reported.

C . Acting as Main Entity: They can serve as a main entity in certain situations, enabling a shift in perspective for data analysis. This can be particularly useful when there is a need to view data from a different dimension that is more aligned with business requirements.

E . Storage Level: The values of these entities are not tied to any single data stream but are maintained at a workspace level, ensuring that they can be applied consistently across different datasets, which is critical for maintaining data integrity and ensuring that classifications are applied uniformly.


Question No. 3

A client's data consists of three data streams as follows:

* The data streams should be linked together through a parent-child relationship.

* Out of the three data streams, Data Stream C is considered the source of truth for both the dimensions and measurements.

Which data stream should be set as a parent?

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Correct Answer: B

Since Data Stream C is considered the source of truth for both dimensions and measurements, it should be set as the parent data stream. This is because the parent data stream is used as the primary source for hierarchical and attribute data within a parent-child relationship setup. As the source of truth, Data Stream C will provide the foundational data upon which the other streams can be aligned and will ensure consistency and accuracy across the linked data.


Question No. 4

Your client is interested in ingested the below file to a new generic data stream type:

The field 'Meeting Code' was mapped to the main entity key. 'How should the 'Room Number' be mapped?

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Correct Answer: A

In Marketing Cloud Intelligence, when a field is mapped to the main entity key, other related fields should be mapped as attributes of that key if they provide additional descriptors or details. Since 'Room Number' is related to 'Meeting Code', it would be an attribute of the 'Meeting Code' entity, providing additional context to the meetings without serving as a metric or a separate entity key.


Question No. 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'' --- Generic Entity Key 2

''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 7th - 10th. How many different stages are presented in the table?

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Correct Answer: C

Based on the Opportunity file and considering the filter dates from January 7th to 10th, the different stages presented are 'Interest', 'Confirmed Interest', and 'Registered'. This makes a total of 3 different stages that would be presented in the pivot table. Salesforce Marketing Cloud Intelligence allows for the creation of pivot tables that can display counts of entities across different dimensions, in this case, Opportunity Stages. Reference to Salesforce Marketing Cloud Intelligence documentation that covers data mapping and pivot table creation would support this conclusion.


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