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Salesforce AP-215 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Harmonization and Data Model- Parent-Child Data Streams
  • 1. Data Update Permissions
  • 2. Override Media Buy Hierarchies
  • 3. Linking data streams
- Data Classification
  • 1. Hierarchy management
  • 2. Attribute classification
- Dimensions and Measures
  • 1. Creating and managing dimensions
  • 2. Creating and managing measures (KPIs)
  • 3. Calculated measurements
Topic 2: Marketing Intelligence Platform Fundamentals- Platform Overview
  • 1. Marketing Cloud Intelligence (formerly Datorama) overview
  • 2. Key features and capabilities
- Administration and Security
  • 1. Workspace and account settings
  • 2. User management and permissions
Topic 3: Reports and Activation- Report Types
  • 1. Standard and custom reports
  • 2. Report scheduling
- Data Export
  • 1. Integration with external tools
  • 2. Exporting data and insights
Topic 4: Data Integration and Configuration- Data Mapping
  • 1. Data model configuration
  • 2. Mapping fields from source files
- Data Stream Types
  • 1. Configuring data source properties
  • 2. Understanding different data stream types
- Data Ingestion
  • 1. Scheduling and refresh settings
  • 2. File upload and API data sources
Topic 5: Data Visualization and Dashboards- Dashboard Design
  • 1. Building dashboards
  • 2. KPI widgets and chart types
- Filters and Drill-Downs
  • 1. Global and local filters
  • 2. Drill-down configuration
- Calculated Measurements
  • 1. Creating custom calculations
  • 2. Formulas and functions

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Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions (Q27-Q32):

NEW QUESTION # 27
Which three statements describe Overarching Entities? 03m 23s

Answer: A,D,E

Explanation:
Overarching Entities in Salesforce Marketing Cloud Intelligence are designed to provide a high level of data organization that spans across multiple data streams. The key points about Overarching Entities are:
B . Relationship Types: Overarching entities can have either a Many-to-Many or One-to-Many relationship with the main entity, which allows for flexible data modeling and relationship definitions based on the nature of the data and how it should be analyzed and reported.
C . Acting as Main Entity: They can serve as a main entity in certain situations, enabling a shift in perspective for data analysis. This can be particularly useful when there is a need to view data from a different dimension that is more aligned with business requirements.
E . Storage Level: The values of these entities are not tied to any single data stream but are maintained at a workspace level, ensuring that they can be applied consistently across different datasets, which is critical for maintaining data integrity and ensuring that classifications are applied uniformly.


NEW QUESTION # 28
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 assume that the file is mapped in the OPPORTUNITIES Data Stream type with the following mapping:
"Day" - "Created Date"
"Opportunity Key" + Opportunity Key
"Opportunity Stage" - Opportunity Stage
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?

Answer: D

Explanation:
pivot table is filtered on January 11th, we refer to the Opportunity file and see that there are no records for January 11th. Thus, there would be zero opportunities in the Confirmed Interest stage on that date. The Salesforce Marketing Cloud Intelligence's pivot table feature allows for the display of counts of entities based on the filtered criteria, which in this scenario would show zero since no records exist for the filtered date. Reference: Salesforce Marketing Cloud Intelligence documentation on pivot table functionalities.


NEW QUESTION # 29
A client created a new KPI: CPS (Cost per Sign-up).
The new KIP is mapped within the data stream mapping, and is populated with the following logic: (Media Cost) / Sign-ups) As can be seen in the table below, CPS was created twice and was set with two different aggregations:

From looking at the table, what are the aggregation settings for each one of the newly created KPIs?

Answer: C

Explanation:
The KPI CPS (Cost per Sign-up) would be calculated by dividing the 'Media Cost' by 'Sign-ups'. The table indicates that CPS is set with two different aggregations. In option C, CPS #1 is set to 'AUTO', which allows the system to decide the best aggregation method based on the context. CPS #2 is set to 'SUM', which indicates that the individual costs per sign-up are summed up across multiple records to provide a total cost per sign-up.


NEW QUESTION # 30
Which Marketing Cloud Intelligence field is considered an attribute and not a "variable"?

Answer: C

Explanation:
In Marketing Cloud Intelligence, attributes refer to characteristics of the data that describe the environment or context but do not change within the scope of the data being analyzed. 'Device Category' is typically an attribute as it describes a characteristic of the device used and doesn't vary within a given session or user interaction. In contrast, variables are typically metrics or dimensions that can change value or be measured.


NEW QUESTION # 31
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?

Answer: D

Explanation:
With File A uploaded using the Ads data stream type, the client wishes to create a view incorporating data from Files B & C.
A false connection would occur if VLOOKUP in Data Stream B is used incorrectly to return "Day" and "Installs". In this scenario, VLOOKUP might inaccurately link data based on MB Name between File B and File A or File C, which do not have a "Day" field to correctly join on. Moreover, "Installs" data in File B doesn't exist, so VLOOKUP cannot correctly return this information. The correct method would be to use the "Media Buy New Name" to link File B and File C since they both have this field, ensuring accurate connection and avoiding data mismatches or false connections.


NEW QUESTION # 32
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