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Salesforce AP-215 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Dashboards and Visualization | 15% | - KPI and metric display - Dashboard design and layout - Chart types and usage |
| Topic 2: Data Permissions and Governance | 5% | - User access and roles - Parent-child data setups - Data update controls |
| Topic 3: Automation and Workflow | 5% | - Automated distribution - Workflow setup |
| Topic 4: Reporting and Analytics | 12% | - Report creation and scheduling - Attribution models - Insight generation and interpretation |
| Topic 5: General Functionalities | 13% | - Core platform capabilities - Navigation and interface - Basic concepts and terminology |
| Topic 6: Performance and Troubleshooting | 5% | - Monitoring and optimization - Common issues and fixes |
| Topic 7: Data Mapping and Modeling | 5% | - Source of truth configuration - Dimensions and measures - Data structure and relationships |
| Topic 8: Datasets and Data Views | 10% | - Dataset creation and management - View configuration and sharing - Filtering and segmentation |
| Topic 9: Data Quality and Cleansing | 7% | - Validation rules - Duplicate management - Error handling and correction |
| Topic 10: Calculated Fields and Functions | 5% | - Custom calculations - Extract and transformation formulas - VLOOKUP and FUZZYVLOOKUP |
| Topic 11: Data Integration and Ingestion | 12% | - Data streams and connectors - API and file-based import - Refresh schedules and data flow |
| Topic 12: Overarching Entities | 3% | - Use cases and application scenarios - Structure and configuration |
| Topic 13: Data Harmonization | 3% | - Standardization methods - Pros and cons of harmonization approaches - Cross-source alignment |
Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:
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. 4
- B. 3
- C. 0
- D. 1
Correct Answer: A 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
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 assuming that the file is mapped in a GENERIC data stream type with the following mapping:
"Day" - Standard "Day" field
"Opportunity Key" > Main Generic Entity Key
"Opportunity Stage" - Main Generic Entity Attribute
"Opportunity Count" - Generic Custom Metric
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 Interest stage?
- A. 3
- B. 0
- C. 2
- D. 1
Correct Answer: B 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
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. Media Buy Name, Impressions
- C. Creative Name, Impressions, Analyzed Impressions
- D. Media Buy Type, Analyzed Impressions
Correct Answer: A 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
An implementation engineer has been provided with 4 different source files: 03m 16s
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 &
File structure/headers:
Category - links back to Campaign Category (Twitter Ads)
Which proposed solution meets the client's requirements for the above use case?
- A.

- B.

- C.

- D.

Correct Answer: D 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
A client provides the following three files:
File A:
File B:
File C:
File A was uploaded using the Ads data stream type.
The client would like to create this view (data from Files B & C) in Datorama:
Which proposed solution would cause a false connection between the two files?
- A. VLOOKUP in Data Stream B. Vlookup will return "Day" and "Installs"
- B. Custom classification
- C. VLOOKUP in Data Stream C. Vlookup will return "MB Name"
- D. Data Classification
Correct Answer: A 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).






