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Salesforce AP-215 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Ingestion and Integration | - Data sources and connectors - Data ingestion processes - Data synchronization and scheduling |
| Analytics and Dashboarding | - Insights and reporting - Dashboard creation and configuration - Visualization best practices |
| Administration and Security | - User roles and permissions - Platform configuration - Data access control |
| Data Modeling and Transformation | - Metrics and dimensions configuration - Data model structure and schema design - Normalization and harmonization |
| Data Quality and Troubleshooting | - Performance optimization - Error handling and debugging - Data validation and monitoring |
| Marketing Use Cases and Activation | - Business reporting use cases - Cross-channel marketing insights - Campaign performance analysis |
Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:
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. Custom classification
- B. VLOOKUP in Data Stream B. Vlookup will return "Day" and "Installs"
- C. Data Classification
- D. VLOOKUP in Data Stream C. Vlookup will return "MB Name"
Correct Answer: B 🗳️
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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. Processing (processing time when loading relevant data streams)
- B. Ease of Maintenance
- C. Performance (Performance when loading a dashboard page)
- D. Scalability
- E. Use of code
Correct Answer: B,C,D 🗳️
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Source 3:
Via the harmonization Center, the Client has created Patterns and applied a classification rule using source 2.
While performing QA, you have spotted that the final value of clicks for Product Group Ais 10, where it should've been i5.
How can an implementation engineer fix this discrepancy?
- A. Leave the "Case Sensitive" checkbox in the data classification unchecked
- B. Uncheck the "Case Sensitive" checkbox in the data classification
- C. Toggle the 'Structure Compliant' OFF.
- D. Upload both source 1 and 3 to the same data stream type in order to be able to generate Patterns from them.
Correct Answer: B 🗳️
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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 two Classification Rules (one for 'Messi' and another for Ronaldo') 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 a Classification Rule (with the two values) for the final Harmonized Dimension
- D. Create a second Pattern for Media Buy Name and add a validation list (with the two values) for the final Harmonized Dimension.
Correct Answer: A 🗳️
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After uploading a standard file into Marketing Cloud intelligence via total Connect, you noticed that the number of rows uploaded (to the specific data stream) is NOT equal to the number of rows present in the source file. What are two resource that may cause this gap?
- A. The source file does not contain the media Buy entity
- B. Main entity is not mapped
- C. All mapped Measurements for a given row have values equal to zero
- D. The file does not contain any measurements (dimension only)
Correct Answer: B,C 🗳️
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