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Salesforce AP-215 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Calculated Fields and Functions | 5% | - VLOOKUP and FUZZYVLOOKUP - Custom calculations - Extract and transformation formulas |
| General Functionalities | 13% | - Core platform capabilities - Basic concepts and terminology - Navigation and interface |
| Reporting and Analytics | 12% | - Insight generation and interpretation - Attribution models - Report creation and scheduling |
| Dashboards and Visualization | 15% | - KPI and metric display - Chart types and usage - Dashboard design and layout |
| Data Permissions and Governance | 5% | - User access and roles - Data update controls - Parent-child data setups |
| Performance and Troubleshooting | 5% | - Monitoring and optimization - Common issues and fixes |
| Data Integration and Ingestion | 12% | - API and file-based import - Data streams and connectors - Refresh schedules and data flow |
| Data Harmonization | 3% | - Standardization methods - Cross-source alignment - Pros and cons of harmonization approaches |
| Data Quality and Cleansing | 7% | - Duplicate management - Validation rules - Error handling and correction |
| Datasets and Data Views | 10% | - Filtering and segmentation - Dataset creation and management - View configuration and sharing |
| Overarching Entities | 3% | - Structure and configuration - Use cases and application scenarios |
| Data Mapping and Modeling | 5% | - Dimensions and measures - Data structure and relationships - Source of truth configuration |
| Automation and Workflow | 5% | - Automated distribution - Workflow setup |
Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:
An implementation engineer is requested to extract the first three-letter segment of the Campaign Name values.
For example:
Campaign Name: AFD@Mulop-1290
Desired outcome: AFD
Other examples:
Which formula will return the desired values?
- A. LEFT(EXTRACT(csv[campaign_name'}/-',1),3)
- B. EXTRACT(EXTRACT(csv['campaign_name]]/@',1),-,0)
- C. LEFT(EXTRACT(csy['campaign_name]],~',0),3)
- D. EXTRACT(csv[campaign_name!;@',1)
- E. EXTRACT(csv[campaign_name'],-,0)
Correct Answer: D 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
What are two potential reasons for performance issues (when loading a dashboard) when using the CRM data stream type?
- A. When a data stream type ''CRM - Leads' is created, another complementary 'CRM - Opportunity' is created automatically.
- B. No mappable measurements - all measurements are calculated
- C. The data is stored at the workspace level.
- D. Pacing - daily rows are being created for every lead and opportunity keys
Correct Answer: B,D 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
A client's data consists of three data sources - Facebook Ads, LinkedIn Ads and Google Campaign Manager.
Notes:
* The client is planning on adding an additional 100 Facebook Ads data streams and 50 more LinkedIn Ads data streams.
* The final volume of data in the workspace will be 5M rows
* Each data source has a naming convention and it can be assumed that any additional profile (i.e. Data Stream) from one of these sources will follow the same naming convention.
The client provided the following sample files:
Facebook Ads:
The client would like to create a new harmonization field named "Market," which will only be coming from Facebook Ads and LinkedIn Ads. The logic for
"Market" is the following:
IF Media Buy Type is equal to "TypeB" or "TypeC" or "TypeD"
Return 'Europe'
ELSE
Return 'Rest Of The World'
In order to create the harmonization field Market, the client considers using either Mapping Formula, Calculated Dimension, VLOOKUP or Patterns.
Considering maintenance and scalability, which option is recommended?
- A. Patterns
- B. vLookuP
- C. Calculated Dimension
- D. Mapping Formulas
Correct Answer: A 🗳️
Explanation: Only visible for TestValid 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 apply a Classification Rule (with the two values) for the final Harmonized Dimension
- B. Create a second Pattern for Media Buy Name and add a validation list (with the two values) for the final Harmonized Dimension.
- C. Create a second Pattern for Media Buy Name
- D. 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.
Correct Answer: D 🗳️
Explanation: Only visible for TestValid 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. 1
- C. 2
- D. 0
Correct Answer: D 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
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