Salesforce AP-215 Exam Details & Actual Exam Questions

  • Exam Code/Number: AP-215
  • Exam Name/Title: Marketing Cloud Intelligence Accredited Professional
  • Certification Provider: Salesforce
  • Corresponding Certification: Accredited Professional Certification
  • Exam Questions: 64
  • Updated On: Jul,09 2026
  • Certification Level: Professional

Salesforce Marketing Cloud Intelligence Accredited Professional Exam Questions

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Salesforce AP-215 Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Marketing Cloud Intelligence Accredited Professional
Exam Number:AP-215
Certificate Validity Period:12 months
Exam Duration:90 minutes
Related Certifications:Salesforce Accredited Professional
Passing Score:60%
Real Exam Qty:40-45
Exam Format:Multiple-choice, Multiple-select, Scenario-based
Available Languages:English
Exam Price:USD 150
Sample Questions:Salesforce AP-215 Sample Questions
Exam Way:Online proctored or onsite at authorized test centers
Pre Condition:No mandatory prerequisites; recommended experience with Marketing Cloud data and analytics
Official Syllabus URL:https://trailhead.salesforce.com/credentials/marketing-cloud-intelligence-accredited-professional

Salesforce AP-215 Exam Syllabus Topics:

SectionWeightObjectives
Data Mapping and Modeling5%- Dimensions and measures
- Source of truth configuration
- Data structure and relationships
Reporting and Analytics12%- Insight generation and interpretation
- Report creation and scheduling
- Attribution models
Data Integration and Ingestion12%- API and file-based import
- Refresh schedules and data flow
- Data streams and connectors
Data Permissions and Governance5%- User access and roles
- Parent-child data setups
- Data update controls
Data Quality and Cleansing7%- Error handling and correction
- Validation rules
- Duplicate management
Automation and Workflow5%- Workflow setup
- Automated distribution
Calculated Fields and Functions5%- VLOOKUP and FUZZYVLOOKUP
- Extract and transformation formulas
- Custom calculations
Dashboards and Visualization15%- KPI and metric display
- Chart types and usage
- Dashboard design and layout
Performance and Troubleshooting5%- Monitoring and optimization
- Common issues and fixes
Datasets and Data Views10%- Dataset creation and management
- View configuration and sharing
- Filtering and segmentation
Data Harmonization3%- Cross-source alignment
- Standardization methods
- Pros and cons of harmonization approaches
Overarching Entities3%- Structure and configuration
- Use cases and application scenarios
General Functionalities13%- Navigation and interface
- Core platform capabilities
- Basic concepts and terminology


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