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Salesforce AP-215 Exam Overview:
| Certification Vendor: | Salesforce |
| Exam Name: | Salesforce Marketing Cloud Intelligence Accredited Professional |
| Exam Number: | AP-215 |
| Available Languages: | English |
| Real Exam Qty: | 40-45 |
| Exam Format: | Multiple-choice, Multiple-select, Scenario-based |
| Exam Duration: | 90 minutes |
| Related Certifications: | Salesforce Accredited Professional |
| Passing Score: | 60% |
| Certificate Validity Period: | 12 months |
| Exam Price: | USD 150 |
| Recommended Training: | Marketing Cloud Intelligence Curriculum |
| Exam Registration: | Kryterion Webassessor Salesforce Certification Portal |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Calculated Fields and Functions | 5% | - VLOOKUP and FUZZYVLOOKUP - Custom calculations - Extract and transformation formulas |
| Topic 2: Dashboards and Visualization | 15% | - Dashboard design and layout - KPI and metric display - Chart types and usage |
| Topic 3: Performance and Troubleshooting | 5% | - Monitoring and optimization - Common issues and fixes |
| Topic 4: Data Permissions and Governance | 5% | - Parent-child data setups - User access and roles - Data update controls |
| Topic 5: Data Quality and Cleansing | 7% | - Validation rules - Error handling and correction - Duplicate management |
| Topic 6: Reporting and Analytics | 12% | - Insight generation and interpretation - Attribution models - Report creation and scheduling |
| Topic 7: Data Integration and Ingestion | 12% | - Data streams and connectors - API and file-based import - Refresh schedules and data flow |
| Topic 8: Data Mapping and Modeling | 5% | - Source of truth configuration - Data structure and relationships - Dimensions and measures |
| Topic 9: Data Harmonization | 3% | - Standardization methods - Pros and cons of harmonization approaches - Cross-source alignment |
| Topic 10: Automation and Workflow | 5% | - Automated distribution - Workflow setup |
| Topic 11: General Functionalities | 13% | - Core platform capabilities - Basic concepts and terminology - Navigation and interface |
| Topic 12: Overarching Entities | 3% | - Structure and configuration - Use cases and application scenarios |
| Topic 13: Datasets and Data Views | 10% | - Filtering and segmentation - Dataset creation and management - View configuration and sharing |
Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:
1. 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.
When harmonizing the Objective field from within the data stream mapping, which advantage is gained?
A) Ease of Setup
B) Ease of Maintenance
C) Performance (Performance when loading a dashboard page)
D) Scalability
2. Which three statements describe Overarching Entities? 03m 23s
A) These are mappable dimensions that are present in each and every dataset type
B) Once the data streams in which Custom Classification values were mapped are deleted, their data is deleted.
C) The values of these entities are stored at the workspace level, rather than the data stream level
D) Some overarching entities hold a Many-to-Many relationship with the main entity, and others hold a One-to-Many relationship with it.
E) When needed, these entities can act as a main entity, replacing the original one.
3. An implementation engineer has been provided with the below dataset:
*Note: CPC = Cost per Click
Formula: Cost / Clicks
Which action should an engineer take to successfully integrate CPC?
A) Populate the logic within a custom measurement. Set Aggregation to SUM.
B) Unmap it, as Datorama will calculate it automatically.
C) Populate the logic within a custom measurement. No need to change Aggregation.
D) Populate the logic within a custom measurement. Set Aggregation to AVG.
4. What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?
A) Pacing - daily rows are being created for every lead and opportunity keys
B) The data is stored at the workspace level.
C) When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.
D) No mappable measurements - all measurements are calculated
5. An implementation engineer has been provided with 4 different source files: 03m 48s
1. Twitter Ads ~
2. Creative Classification
3. Placement Classification
4, Campaign Category Classification
The main source is Twitter Ads (which includes various fields and KPIs), and the rest are classification files that connect to Twitter Ads and enrich different fields within it.
The connections between the files are described as follows:
1st Party Creative Classification
File structure/headers:
Creative ID - links back to Creative Key (Twitter Ads)
1st Party Placement Classification by
File structure/headers:
A) 
B) 
C) 
D) 
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C,D,E | Question # 3 Answer: C | Question # 4 Answer: A,D | Question # 5 Answer: C |
By Kent
