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Salesforce Marketing-Cloud-Intelligence Exam With Confidence Using Practice Dumps

Exam Code:
Marketing-Cloud-Intelligence
Exam Name:
Marketing Cloud Intelligence Accredited Professional (AP-215)
Certification:
Vendor:
Questions:
63
Last Updated:
Feb 7, 2026
Exam Status:
Stable
Salesforce Marketing-Cloud-Intelligence

Marketing-Cloud-Intelligence: Accredited Professional Exam 2025 Study Guide Pdf and Test Engine

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Marketing Cloud Intelligence Accredited Professional (AP-215) Questions and Answers

Question 1

An implementation engineer is requested to extract the first three-letter segment of the Campaign Name values.

For example:

Campaign Name: AFD@Mulop-1290

Desired outcome: AFD

Other examples:

Which formula will return the desired values?

Options:

A.

LEFT(EXTRACT(csy[‘campaign_name]],~',0),3)

B.

EXTRACT(csv[campaign_name!;@',1)

C.

EXTRACT(csv[campaign_name'],—,0)

D.

EXTRACT(EXTRACT(csv['campaign_name]]/@',1),-,0)

E.

LEFT(EXTRACT(csv[campaign_name'}/—',1),3)

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Question 2

A client wants to integrate their data within Marketing Cloud Intelligence to optimize their marketing Insights and cross-channel marketing activity analysis. Below are details regarding the different data sources and the number of data streams required for each source.

Which three advantages does a client gain from using Calculated Dimensions as the harmonization method for creating the Objective field?

Options:

A.

Scalability - future data streams that will follow similar logic will be automatically harmonized.

B.

Data model restrictions - Calculated Dimensions do not need to adhere to Marketing Cloud Intelligence's data model

C.

Processing - creation of Calculated Dimensions will ease the processing time of the data streams it relates to

D.

Ease of Maintenance - the logic is written and populated in one centralized place

E.

Performance (Performance when loading a dashboard page) should be optimized as the values of calculated dimensions are stored within the database.

Question 3

Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence’s data model?

Options:

A.

These dimensions are stored at the workspace level

B.

Variable Dimensions hold a Many-to-Many relationship with its main entity

C.

All variables exist in every data set type, hence are considered as overarching dimensions

D.

These are stand alone dimensions that pertain to the data set itself rather than to a specific entity