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Salesforce AP-215 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: General Functionalities | 13% | - Core platform capabilities - Navigation and interface - Basic concepts and terminology |
| Topic 2: Data Harmonization | 3% | - Pros and cons of harmonization approaches - Cross-source alignment - Standardization methods |
| Topic 3: Dashboards and Visualization | 15% | - Chart types and usage - KPI and metric display - Dashboard design and layout |
| Topic 4: Calculated Fields and Functions | 5% | - Custom calculations - VLOOKUP and FUZZYVLOOKUP - Extract and transformation formulas |
| Topic 5: Automation and Workflow | 5% | - Automated distribution - Workflow setup |
| Topic 6: Performance and Troubleshooting | 5% | - Monitoring and optimization - Common issues and fixes |
| Topic 7: Datasets and Data Views | 10% | - Filtering and segmentation - View configuration and sharing - Dataset creation and management |
| Topic 8: Data Permissions and Governance | 5% | - Parent-child data setups - User access and roles - Data update controls |
| Topic 9: Data Mapping and Modeling | 5% | - Dimensions and measures - Data structure and relationships - Source of truth configuration |
| Topic 10: Data Quality and Cleansing | 7% | - Validation rules - Duplicate management - Error handling and correction |
| Topic 11: Reporting and Analytics | 12% | - Report creation and scheduling - Insight generation and interpretation - Attribution models |
| Topic 12: Data Integration and Ingestion | 12% | - Refresh schedules and data flow - Data streams and connectors - API and file-based import |
| Topic 13: Overarching Entities | 3% | - Structure and configuration - Use cases and application scenarios |
Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:
Question 1
An Implementation engineer is requested to create a new harmonization field 'Offer' and apply the following logic:
The implementation engineer to use the Harmonization Center. Which of the below actions can help implement the new dimension 'Offer?
A. Two separate patterns (filtered by Linkedln or AdRoll sources).
Another single pattern for Web Analytics Site Source (filtered by Google Analytics source), extracting all three positions A total of 3 patterns.
B. Two separate patterns (filtered by Linkedin or AdRoll sources)
Within Google Analytics' mapping: A formula that reflects the logic above will be populated within a Campaign custom attribute.
Another pattern to be created for the newly campaign attribute (filtered by Google Analytics source).
A total of 3 patterns
C. Two separate patterns (filtered by Linkedin or AdRoll sources).
Another single pattern for Campaign Name (filtered by Google Analytics source).
A total of 3 patterns.
D. Two separate patterns (filtered by Linkedin or AdRoll sources)
Within Google Analytics' mapping A formula that reflects the logic above will be populated within a Web Analytics Site custom attribute Another pattern to be created for the newly Web Analytics Site custom attribute (filtered by Google Analytics source).
A total of 3 patterns.
Question 2
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.
Which three advantages does a client gain from using Calculated Dimensions as the harmonization method for creating the Objective field?
A. Scalability - future data streams that will follow similar logic will be automatically harmonized.
B. Performance (Performance when loading a dashboard page) should be optimized as the values of calculated dimensions are stored within the database.
C. Data model restrictions - Calculated Dimensions do not need to adhere to Marketing Cloud Intelligence's data model
D. Ease of Maintenance - the logic is written and populated in one centralized place
E. Processing - creation of Calculated Dimensions will ease the processing time of the data streams it relates to
Question 3
An implementation engineer is requested to integrate the following files:
File A:
File B:
The client would like to link the two files in order to view the two KPIS (Tasks Completed' and 'tasks Assignmed') alongside'Employee Name' and/or 'Squard'.
A Parent-Child configuration was set between the two.
Which two statements are correct?
A. The two files were uploaded to a different Generic type
B. The two files cannot be Joined as they hold different measurements
C. The two files cannot be joined as they hold different dates
D. Any one of the files can potentially be set as the Parent data stream
E. The join can be successful even if "empjd' isn't mapped and employee.name' is mapped to the same entity name in both data streams
Question 4
The following file was uploaded into Marketing Cloud Intelligence as a generic dataset type:
The mapping is as follows:
Day - Day
Web_site_source - Main Generic Entity Attribute 01
Page Views - Generic Metric 1
*Note that 'web_site_key' and 'web_site_name' are NOT mapped.
How many rows will be stored in Marketing Cloud Intelligence after the above file is ingested?
A. 1
B. 3
C. 0
D. 4
Question 5
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.
What three advantages are gained when using Patterns & Data Classification as the harmonization method for creating the Objective field?
A. Performance (Performance when loading a dashboard page)
B. Scalability
C. Use of code
D. Ease of Maintenance
E. Processing (processing time when loading relevant data streams)
Solutions:
| Question 1 Answer: B | Question 2 Answer: A,B,D | Question 3 Answer: D,E | Question 4 Answer: D | Question 5 Answer: A,B,D |
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