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Salesforce AP-215 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Datasets and Data Views | 10% | - Filtering and segmentation - View configuration and sharing - Dataset creation and management |
| Topic 2: Overarching Entities | 3% | - Use cases and application scenarios - Structure and configuration |
| Topic 3: Dashboards and Visualization | 15% | - KPI and metric display - Dashboard design and layout - Chart types and usage |
| Topic 4: Calculated Fields and Functions | 5% | - Extract and transformation formulas - Custom calculations - VLOOKUP and FUZZYVLOOKUP |
| Topic 5: Data Permissions and Governance | 5% | - Parent-child data setups - User access and roles - Data update controls |
| Topic 6: Data Quality and Cleansing | 7% | - Duplicate management - Validation rules - Error handling and correction |
| Topic 7: Data Mapping and Modeling | 5% | - Source of truth configuration - Dimensions and measures - Data structure and relationships |
| Topic 8: Performance and Troubleshooting | 5% | - Common issues and fixes - Monitoring and optimization |
| Topic 9: Reporting and Analytics | 12% | - Insight generation and interpretation - Attribution models - Report creation and scheduling |
| Topic 10: Data Integration and Ingestion | 12% | - API and file-based import - Refresh schedules and data flow - Data streams and connectors |
| Topic 11: Data Harmonization | 3% | - Cross-source alignment - Pros and cons of harmonization approaches - Standardization methods |
| Topic 12: General Functionalities | 13% | - Core platform capabilities - Basic concepts and terminology - Navigation and interface |
| Topic 13: Automation and Workflow | 5% | - Automated distribution - Workflow setup |
Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:
A technical architect is provided with the logic and Opportunity file shown below:
The opportunity status logic is as follows:
For the opportunity stages "Interest", "Confirmed Interest" and "Registered", the status should be "Open".
For the opportunity stage "Closed", the opportunity status should be closed Otherwise, return null for the opportunity status.
Given the above file and logic and assume that the file is mapped in the OPPORTUNITIES Data Stream type with the following mapping:
"Day" - "Created Date"
"Opportunity Key" + Opportunity Key
"Opportunity Stage" - Opportunity Stage
A pivot table was created to present the count of opportunities in each stage. The pivot table is filtered on Jan 11th. What is the number of 'opportunities in the Confirmed Interest stage?
- A. 2
- B. 1
- C. 0
- D. 3
Correct Answer: C 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
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 add a validation list (with the two values) for the final Harmonized Dimension.
- B. Create a second Pattern for Media Buy Name
- C. 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.
- D. Create a second Pattern for Media Buy Name and apply a Classification Rule (with the two values) for the final Harmonized Dimension
Correct Answer: C 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
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.
Correct Answer: A 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
Which two statements are correct regarding LiteConnect?
- A. The dataset does not conform to the standard data model
- B. All of the dimensions mapped within a LiteConnect data stream are considered overarching entities.
- C. It does not require any identification of entities, keys or any other categorization.
- D. Data coming from LiteConnect cannot be harmonized with the rest of the workspace data via the harmonization center at a later step.
Correct Answer: A,C 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
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 join can be successful even if "empjd' isn't mapped and employee.name' is mapped to the same entity name in both data streams
- B. Any one of the files can potentially be set as the Parent data stream
- C. The two files were uploaded to a different Generic type
- D. The two files cannot be joined as they hold different dates
- E. The two files cannot be Joined as they hold different measurements
Correct Answer: A,B 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
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