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Salesforce AP-215 Exam Syllabus Topics:

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

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) These dimensions are stored at the workspace level
B) These are stand alone dimensions that pertain to the data set itself rather than to a specific entity
C) All variables exist in every data set type, hence are considered as overarching dimensions
D) Variable Dimensions hold a Many-to-Many relationship with its main entity

2. Your client is interested in ingested the below file to a new generic data stream type:

The field 'Meeting Code' was mapped to the main entity key. 'How should the 'Room Number' be mapped?

A) An attribute of 'Meeting Code'
B) A custom metric and set aggregation to AUTO
C) A separate entity key
D) A custom metric and set aggregation to SUM

3. A client's data consists of three data streams as follows:

* The data streams should be linked together through a parent-child relationship.
* Out of the three data streams, Data Stream C is considered the source of truth for both the dimensions and measurements.
Which data stream should be set as a parent?

A) Data Stream A
B) Data Stream B
C) Any of the data streams can technically be the parent
D) Data Stream C

4. Ina workspace that contains one hundred data streams and a lot of data, what is the biggest downside of using calculated dimensions?

A) Performance
B) Ease of setup
C) Scalability
D) Ease of maintenance

5. An implementation engineer has been provided with 4 different source files: 03m 16s
1. Twitter Ads
2. Creative Classification
3. Placement Classification
4, Campaign Category Classification
The main source is Twitter Ads (which includes various fields and KPIs), and the rest are classification files that connect to Twitter Ads and enrich different fields within it.
The connections between the files are described as follows:
1st Party Creative Classification
File structure/headers:

Creative ID - links back to Creative Key (Twitter Ads)
1st Party Placement Classification &
File structure/headers:

Category - links back to Campaign Category (Twitter Ads)
Which proposed solution meets the client's requirements for the above use case?