Salesforce Marketing-Cloud-Intelligence Exam Details & Actual Exam Questions
- Exam Code/Number: Marketing-Cloud-Intelligence
- Exam Name/Title: Marketing Cloud Intelligence Accredited Professional Exam
- Certification Provider: Salesforce
- Corresponding Certification: Accredited Professional Certification
- Exam Questions: 64
- Updated On: Jul,27 2026
- Certification Level: Professional
Salesforce Marketing Cloud Intelligence Accredited Professional Exam Questions
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(25 Up Votes)Salesforce Marketing-Cloud-Intelligence Exam Overview:
| Certification Vendor: | Salesforce |
| Exam Name: | Salesforce Marketing Cloud Intelligence Accredited Professional Exam |
| Exam Number: | Marketing-Cloud-Intelligence (AP-215) |
| Exam Duration: | 90 minutes |
| Related Certifications: | Salesforce Accredited Professional |
| Exam Format: | Multiple-choice, Multiple-select, Scenario-based |
| Available Languages: | English |
| Passing Score: | 60% |
| Real Exam Qty: | 40 |
| Exam Price: | USD $150 (+ applicable taxes) |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Salesforce Trailhead - Marketing Cloud Intelligence |
| Exam Registration: | Salesforce Certification Registration |
| Sample Questions: | Salesforce Marketing-Cloud-Intelligence Sample Questions |
| Exam Way: | Proctored, computer-based; available onsite at testing centers or online proctored |
| Pre Condition: | No mandatory prerequisites; recommended experience with Marketing Cloud Intelligence or marketing analytics |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/marketing-cloud-intelligence |
Salesforce Marketing-Cloud-Intelligence Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| General Functionalities | 13% | - Core platform features and capabilities - Navigation and interface components |
| CRM Integration | 12% | - CRM data properties and behavior - Sync and data flow between systems |
| Calculated Dimensions & Measurements | 7% | - Creating and managing calculated fields - Aggregation types and formula logic |
| Data Update Permissions | 5% | - Data refresh and update configurations - Access control and permission settings |
| QA & Validation | 9% | - Error handling and troubleshooting - Data quality checks and validation processes |
| Data Model | 8% | - Entities, relationships and attributes - Data categorization and key definitions |
| Harmonization Center | 13% | - Data classification and validation rules - Patterns and harmonized dimensions |
| Mapping | 5% | - Source-to-target mapping rules - Field mapping and data alignment |
| Vlookup Functions | 5% | - Data lookup and reference logic - Vlookup syntax and usage |
| Harmonization Best Practices | 3% | - Pros and cons of different approaches - Standardization methods and strategies |
| Data Integration Code Ability | 12% | - Scripting and transformation logic - Data ingestion methods and sources |
| Overarching Entities | 3% | - Global data definitions - Cross-domain data structures |
| Design Feasibility | 5% | - Valid vs invalid implementation approaches - Solution design evaluation |
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