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Salesforce AP-215 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Datasets and Data Views | 10% | - View configuration and sharing - Filtering and segmentation - Dataset creation and management |
| Topic 2: Data Harmonization | 3% | - Pros and cons of harmonization approaches - Standardization methods - Cross-source alignment |
| Topic 3: Data Quality and Cleansing | 7% | - Duplicate management - Error handling and correction - Validation rules |
| Topic 4: General Functionalities | 13% | - Basic concepts and terminology - Navigation and interface - Core platform capabilities |
| Topic 5: Data Permissions and Governance | 5% | - User access and roles - Data update controls - Parent-child data setups |
| Topic 6: Dashboards and Visualization | 15% | - KPI and metric display - Dashboard design and layout - Chart types and usage |
| Topic 7: Performance and Troubleshooting | 5% | - Common issues and fixes - Monitoring and optimization |
| Topic 8: Reporting and Analytics | 12% | - Insight generation and interpretation - Attribution models - Report creation and scheduling |
| Topic 9: Automation and Workflow | 5% | - Automated distribution - Workflow setup |
| Topic 10: Overarching Entities | 3% | - Structure and configuration - Use cases and application scenarios |
| Topic 11: Data Integration and Ingestion | 12% | - Data streams and connectors - API and file-based import - Refresh schedules and data flow |
| Topic 12: Calculated Fields and Functions | 5% | - VLOOKUP and FUZZYVLOOKUP - Custom calculations - Extract and transformation formulas |
| Topic 13: Data Mapping and Modeling | 5% | - Data structure and relationships - Source of truth configuration - Dimensions and measures |
Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:
1. Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence's data model?
A) All variables exist in every data set type, hence are considered as overarching dimensions
B) These are stand alone dimensions that pertain to the data set itself rather than to a specific entity
C) These dimensions are stored at the workspace level
D) Variable Dimensions hold a Many-to-Many relationship with its main entity
2. Client has provided sample flies of their data from the following data sources:
Google Campaign Manager
Below are the requirements from the client and additional information:
* The sources are linked to each other by shared Media Buy names.
* In addition-to the mutual Media Buys, the sources contain campaign and site values. However, the client would like to see the campaign/site values coming from Google CM and not from Google DV360.
* The source of truth for cost is Google DV360.
As a first step, a Parent-Child relationship was created between the two files, and the following mapping was performed, within both data streams:
Please note:
* All other measurements were mapped as well to the appropriate fields.
* No other mapping manipulations or formulas were implemented.
How many records will the merged table hold?
A) Depends on the Data Updates Permissions
B) 8
C) 4
D) 3
3. 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.
When harmonizing the Objective field from within the data stream mapping, which advantage is gained?
A) Ease of Maintenance
B) Performance (Performance when loading a dashboard page)
C) Scalability
D) Ease of Setup
4. 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 Confirmed Interest stage?
A) 2
B) 3
C) 0
D) 1
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.
Which three advantages does a client gain from using Calculated Dimensions as the harmonization method for creating the Objective field?
A) Processing - creation of Calculated Dimensions will ease the processing time of the data streams it relates to
B) Data model restrictions - Calculated Dimensions do not need to adhere to Marketing Cloud Intelligence's data model
C) Performance (Performance when loading a dashboard page) should be optimized as the values of calculated dimensions are stored within the database.
D) Ease of Maintenance - the logic is written and populated in one centralized place
E) Scalability - future data streams that will follow similar logic will be automatically harmonized.
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: C,D,E |
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