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Salesforce AP-215 Exam Syllabus Topics:

Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:

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

2. An implementation engineer has been provided with 4 different source files: 03m 48s
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 by
File structure/headers:

A)

B)

C)

D)

3. Which three statements accurately describe the different data stream types in Marketing Cloud intelligence?

A) All data stream types share at least one mutual measurement
B) Every data stream type includes the Medio Buy entity
C) Each data stream type has its own set of measurements
D) Each data stream type has Its own main entity
E) All data stream types consist of at least one entity

4. 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) Performance (Performance when loading a dashboard page)
B) Ease of Setup
C) Ease of Maintenance
D) Scalability

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

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

Solutions: