Salesforce Marketing Cloud Intelligence Accredited Professional certification is a valuable credential that is designed to validate candidate's skills, knowledge and experience level.  Passcert has recently released the Salesforce Marketing Cloud Intelligence Accredited Professional Exam Dumps. This comprehensive guide is the perfect tool for those seeking to enrich their knowledge base and hone their skills. It encompasses everything that a candidate must learn in order to excel in the Salesforce Marketing Cloud Intelligence exam. With the aid of Salesforce Marketing Cloud Intelligence Accredited Professional Exam Dumps, candidates can confidently navigate through the exam and potentially attain an impressive score.

The Marketing Cloud Intelligence Accredited Professional exam is designed for individuals who have technical implementation experience with the Marketing Cloud platform. Earners of the Marketing Cloud Intelligence Accredited Professional have demonstrated skills and knowledge in technical implementation to effectively deliver Marketing Cloud Intelligence projects for customers. They have broad experience in data modeling, data analysis, and BI implementation with the skills and ability to manage client relationships, understand customer needs, and translate business needs into technical requirements.

Content: 40 multiple-chaice/multipie-select questions

Time allotted: 90 minutes

Passing score: 60% (24 out of 40 questions)

Exam Fee: USD 150 pius applicable taxes

Retake Fee: USD 150 plus applicable taxes

Prerequisite: None

General Marketing Cloud Intetligence functionality & knowledge 5%

Common Marketing Cloud Intelligence functions 2.5%

Marketing Cloud Intelligence ingestion capabilities and their outcomes 12.5%

Data Update permissions, including related settings 12.5%

General Parent-Child setups, including 'Source of Truth' requirement

Harmonization methods, properties, pros & cons 5%

Viookup statements and general vicokup properties 5%

Knowledge of Overarching Entities. including ability to identify which use cases it can be applied to and how 2.5%

Use cases for Data Fusion and its properties 2.5%

Calculated objects and their functionalities 7.5%

Ability to recognize different aggregation types

Harmonization Center and its capabilities, including Classification 12.5%

Rules, Validation Lists, Patterns and Harmonized Dimensions

CRM properties and behavior within Marketing Cloud Intelligence 12.5%

Perform common OA steps for various platform scenarios 10%

Marketing Cloud Intelligence data model entities and its relationships 5%

Data categorization, including main entities, keys and attributes

Identify invalid solutions from multiple solution design diagrams 2.5%

identify valid solutions from multiple solution design diagrams 2.5%

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

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

Answer: B, D

2. Which three statements accurately describe the different data stream types in Marketing Cloud intelligence?

A.Every data stream type includes the Medio Buy entity

B.All data stream types consist of at least one entity

C.All data stream types share at least one mutual measurement

D.Each data stream type has Its own main entity

E.Each data stream type has its own set of measurements

Answer: B, D, E

3. After uploading a standard file into Marketing Cloud intelligence via total Connect, you noticed that the number of rows uploaded (to the specific data stream) is NOT equal to the number of rows present in the source file. What are two resource that may cause this gap?

A.All mapped Measurements for a given row have values equal to zero

B.Main entity is not mapped

C.The source file does not contain the media Buy entity

D.The file does not contain any measurements (dimension only)

Answer: B, C

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

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

Answer: A, B

5. Which three entities and/or functions can be used in an expression when building a calculated dimension?

A. The VLOOKUP function

B. Mapped dimensions

C. The EXTRACT function

D. Calculated dimensions

E. Mapped measurements

Answer: B, C, E

6. Which two statements are correct regarding LiteConnect?

A.It does not require any identification of entities, keys or any other categorization.

B.The dataset does not conform to the standard data model

C.All of the dimensions mapped within a LiteConnect data stream are considered overarching entities.

D.Data coming from LiteConnect cannot be harmonized with the rest of the workspace data via the harmonization center at a later step.

Answer: A, B