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Salesforce AP-215 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Performance and Troubleshooting | 5% | - Monitoring and optimization - Common issues and fixes |
| Topic 2: Data Quality and Cleansing | 7% | - Duplicate management - Error handling and correction - Validation rules |
| Topic 3: Data Mapping and Modeling | 5% | - Data structure and relationships - Source of truth configuration - Dimensions and measures |
| Topic 4: Dashboards and Visualization | 15% | - KPI and metric display - Dashboard design and layout - Chart types and usage |
| Topic 5: Automation and Workflow | 5% | - Workflow setup - Automated distribution |
| Topic 6: General Functionalities | 13% | - Navigation and interface - Basic concepts and terminology - Core platform capabilities |
| Topic 7: Reporting and Analytics | 12% | - Attribution models - Insight generation and interpretation - Report creation and scheduling |
| Topic 8: Calculated Fields and Functions | 5% | - VLOOKUP and FUZZYVLOOKUP - Extract and transformation formulas - Custom calculations |
| Topic 9: Data Integration and Ingestion | 12% | - Data streams and connectors - API and file-based import - Refresh schedules and data flow |
| Topic 10: Data Harmonization | 3% | - Pros and cons of harmonization approaches - Cross-source alignment - Standardization methods |
| Topic 11: Datasets and Data Views | 10% | - View configuration and sharing - Filtering and segmentation - Dataset creation and management |
| Topic 12: Data Permissions and Governance | 5% | - User access and roles - Parent-child data setups - Data update controls |
| Topic 13: Overarching Entities | 3% | - Structure and configuration - Use cases and application scenarios |
Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:
1. Your client would like to create a new harmonization field - Exam Topic.
The below table represents the harmonization logic from each source.
As can be seen from the table, there are in fact two fields that hold a certain connection: Exam ID and Exam Topic. The connection indicates that where an Exam ID is found - a single Exam Topic value is associated with it.
The client has a requirement to be able to view measurements from all data sources sliced by Exam Topic values, as seen in the following example:
The client suggested to create, without any mapping manipulations, several patterns via the harmonization center that will generate two Harmonized Dimensions:
Exam ID
Exam Topic
Given the above information, which statement is correct regarding the ability to implement this request with the above suggestion?
A) The Harmonized field for Exam ID is redundant. One Harmonized dimension for Exam Topic is enough for a sustainable and working solution
B) The solution will work - the client will be able to view Exam Topic with Email Sends.
C) The above Patterns setup will not work for this use case.
D) Only if 5 different Patterns are created, from 5 different fields - the solution will work.
2. An implementation engineer is requested to create the harmonization field - Magician This field should come from multiple Twitter Ads data streams, and should follow the below logic:
Using the Harmonization Center, the engineer created a single Pattern for Campaign Name. What other action should the engineer take to meet the requirements?
A) Create a second Pattern for Media Buy Name and apply a Classification Rule (with the two values) for the final Harmonized Dimension
B) Create a second Pattern for Media Buy Name and apply two Classification Rules (one for 'Messi' and another for Ronaldo') for the final Harmonized Dimension.
C) Create a second Pattern for Media Buy Name
D) Create a second Pattern for Media Buy Name and add a validation list (with the two values) for the final Harmonized Dimension.
3. Ina workspace that contains one hundred data streams and a lot of data, what is the biggest downside of using calculated dimensions?
A) Ease of setup
B) Performance
C) Scalability
D) Ease of maintenance
4. A client would like to integrate the following two sources:
Google Campaign Manager:
IAS:
After configuring a Parent-Child relationship between the files, which query should an implementation engineer run in order to QA the setup?
A) Media Buy Type, Media Buy Name, Impressions, Analyzed Impressions
B) Creative Name, Impressions, Analyzed Impressions
C) Media Buy Name, Impressions
D) Media Buy Type, Analyzed Impressions
5. What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?
A) No mappable measurements - all measurements are calculated
B) Pacing - daily rows are being created for every lead and opportunity keys
C) The data is stored at the workspace level.
D) When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A,B |



