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Marketing Cloud Intelligence Accredited Professional
Original price was: ₹ 1,499.00.₹ 1,199.00Current price is: ₹ 1,199.00.
About the Marketing Cloud Intelligence Accredited Professional Exam
The Marketing Cloud Intelligence Accredited Professional Exam is designed for individuals who implement and deliver business value to customers with the Marketing Cloud Intelligence platform. This exam is for those who want to show how they implement solutions that meet customer business requirements and contribute to customer success.
Audience Description: Marketing Cloud Intelligence Accredited Professional
Accredited Professional exams are intended for Salesforce Partners with access to the Partner Learning Camp training and Partner Community.
This accreditation is designed for individuals who have the following experience:
- Experience with data modeling, ETL and SQL
- Experience with BI implementations, preferably in a digital marketing environment
- Experience with data analysis & data QA
- Basic coding skills – if/else, for loops
- Familiarity with ads and marketing data analytics
- Client-facing skills and ability to succinctly explain technical concepts
- Ability to run Discovery sessions to understand customer needs and translate them into technical requirements
Purpose of This Exam Guide
This exam guide is designed to help you prepare for the Marketing Cloud Intelligence Accredited Professional Exam. This guide provides information about the target audience, the recommended training and documentation, and a complete list of exam objectives. Salesforce highly recommends a combination of on-the-job experience and self-study to maximize your chances of passing the exam.
About the Exam
Here are details about the Marketing Cloud Intelligence Accredited Professional Exam.
- Content: 40 multiple-choice/multiple-select questions and up to five unscored questions
- Time allotted to complete the exam: 90 minutes
- Passing score: 60%
- Version: Exam questions align to the Summer ’24 release
- Registration fee: US$150, plus applicable taxes as required per local law
- Retake fee: US$150, plus applicable taxes as required per local law
- Delivery options: Proctored exam delivered onsite at a testing center or in an online environment; find more information on scheduling an exam here.
- References: No hard-copy or online materials may be referenced during the exam.
- Prerequisites: None
This exam may contain up to five additional unscored questions to gather performance data. Unscored questions are randomly integrated and have no impact on your final exam result.
Exam Outline
The Marketing Cloud Intelligence Accredited Professional Exam measures a candidate’s knowledge and skills related to the following objectives.
General Functionalities: 13%
- General Marketing Cloud Intelligence functionality & knowledge
Data Integration Code Ability: 12%
- Common Marketing Cloud Intelligence functions
Mapping: 5%
- Marketing Cloud Intelligence ingestion capabilities and their outcomes
Data Update Permissions: 5%
- Data Update permissions, including related settings
- General Parent-Child setups, including ‘Source of Truth’ requirement
Harmonization Best Practices: 3%
- Harmonization methods, properties, pros & cons
Vlookup: 5%
- Vlookup statements and general vlookup properties
Overarching Entities: 3%
- Knowledge of Overarching Entities, including ability to identify which use cases it can be applied to and how
Data Fusion: 3%
- Use cases for Data Fusion and its properties
Calculated Dimensions & Measurements: 7%
- Calculated objects and their functionalities
- Ability to recognize different aggregation types
Harmonization Center (Patterns/Data Classification/Validation): 13%
- Harmonization Center and its capabilities, including Classification Rules, Validation Lists, Patterns and Harmonized Dimensions
CRM: 12%
- CRM properties and behavior within Marketing Cloud Intelligence
QA Ability: 9%
- Perform common QA steps for various platform scenarios
Data Model: 5%
- Marketing Cloud Intelligence data model entities and its relationships
- Data categorization, including main entities, keys and attributes
Design Feasibility: 5%
- Identify invalid solutions from multiple solution design diagrams
- Identify valid solutions from multiple solution design diagrams

