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Salesforce AP-215 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Calculated Fields and Functions | 5% | - Extract and transformation formulas - Custom calculations - VLOOKUP and FUZZYVLOOKUP |
| Reporting and Analytics | 12% | - Attribution models - Report creation and scheduling - Insight generation and interpretation |
| Performance and Troubleshooting | 5% | - Common issues and fixes - Monitoring and optimization |
| General Functionalities | 13% | - Basic concepts and terminology - Core platform capabilities - Navigation and interface |
| Data Permissions and Governance | 5% | - Data update controls - User access and roles - Parent-child data setups |
| Data Integration and Ingestion | 12% | - API and file-based import - Data streams and connectors - Refresh schedules and data flow |
| Datasets and Data Views | 10% | - Dataset creation and management - View configuration and sharing - Filtering and segmentation |
| Dashboards and Visualization | 15% | - Dashboard design and layout - KPI and metric display - Chart types and usage |
| Data Quality and Cleansing | 7% | - Validation rules - Error handling and correction - Duplicate management |
| Automation and Workflow | 5% | - Automated distribution - Workflow setup |
| Overarching Entities | 3% | - Structure and configuration - Use cases and application scenarios |
| Data Mapping and Modeling | 5% | - Data structure and relationships - Dimensions and measures - Source of truth configuration |
| Data Harmonization | 3% | - Standardization methods - Pros and cons of harmonization approaches - Cross-source alignment |
Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:
1. 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) 1
B) 3
C) 0
D) 4
2. An implementation engineer is requested to extract the second position
of the Campaign Name values.
The Campaign values consist of multiple delimiter types, as can be
seen in the following example:
Campaign Name: Ad15X2w&Delux_wal90
Desired value: Delux
Which three harmonization methods will achieve the desired outcome?
A) Data Fusion
B) Patterns
C) Vlookup 0
D) Calculated Dimensions
E) Mapping formula
3. A client Ingested the following We into Marketing Cloud Intelligence:
The mapping of the above file can be seen below:
Date - Day
Media Buy Key - Media Buy Key
Campaign Name - Campaign Name
Campaign Group -. Campaign Custom Attribute 01
Clicks -> Clicks
Media Cost -> Media Cost
Campaign Planned Clicks -> Delivery Custom Metric 01
The client would like to have a "Campaign Planned Clicks" measurement.
This measurement should return the "Campaign Planned Clicks" value per Campaign, for example:
For Campaign Name 'Campaign AAA", the "Campaign Planned Clicks" should be 2000, rather than 6000 (the total sum by the number of Media Buy keys).
In order to create this measurement, the client considered multiple approaches. Please review the different approaches and answer the following question:
Which two options will yield a false result:
A) Option 4
B) Option 3
C) Option 5
D) Option 2
E) Option 1
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 Interest stage?
A) 2
B) 1
C) 3
D) 0
5. An implementation engineer has been asked to perform a QA for a newly created harmonization field, Color, implemented by a client.
The source file that was ingested can be seen below:
The client performed the below standard mapping:
As a final step, the client had created the field 'Color'. As can be seen, it is extracted from the Creative Name (after the '#' sign).
For QA purposes, you have queried a pivot table, with the following fields:
* Media Buy Key
* Media Buy Name
* In View Impressions
The final pivot is presented below:
A) A Harmonized dimension was created via a pattern over the Creative Name.
B) A calculated dimension was created with the formula: EXTRACT([Creative_Namel, #1)
C) An EXTRACT formula (for Color) was written and mapped to a Creative custom attribute.
D) An EXTRACT formula (for Color) was written and mapped to a Media Buy custom attribute.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B,D,E | Question # 3 Answer: C,E | Question # 4 Answer: D | Question # 5 Answer: C |

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