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Salesforce AP-215 Exam Syllabus Topics:

Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:

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

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

2. Which three entities and/or functions can be used in an expression when building a calculated dimension?

A) Calculated dimensions
B) The VLOOKUP function
C) Mapped measurements
D) Mapped dimensions
E) The EXTRACT function

3. A client has provided you with sample files of their data from the following data sources:
1.Google Analytics
2.Salesforce Marketing Cloud
The link between these sources is on the following two fields:
Message Send Key
A portion of: web_site_source_key
Below is the logic the client would like to have implemented in Datorama:
For 'web site medium' values containing the word "email" (in all of its forms), the section after the "_" delimiter in 'web_site_source_key' is a 4 digit number, which matches the 'Message Send Key' values from the Salesforce Marketing Cloud file. Possible examples of this can be seen in the following table:
Google Analytics:

Salesforce Marketing Cloud:

The client's objective is to visualize the mutual key values alongside measurements from both files in a table.

In order to achieve this, what steps should be taken?

A) Upload the two files and create a Parent-Child relationship between them. The Override Media Buy Hierarchy checkbox is checked in Google Analytics.
B) Create a Web Analytics Site Source custom attribute and populate it with the extraction logic. Create a Data Fusion between the newly created attribute and the Message Send Key.
C) Create a Web Analytics Site custom attribute and populate it with the extraction logic. Create a Data Fusion between the newly created attribute and the Message Send Key.
D) Within both files, map the desired value to Custom Classification Key as follows Salesforce Marketing Cloud: map entire Message Key to Custom Classification Key.
Google Analytics: map the extraction logic to Custom Classification Key.

4. Source 3:

Via the harmonization Center, the Client has created Patterns and applied a classification rule using source 2.
While performing QA, you have spotted that the final value of clicks for Product Group Ais 10, where it should've been i5.

How can an implementation engineer fix this discrepancy?

A) Leave the "Case Sensitive" checkbox in the data classification unchecked
B) Upload both source 1 and 3 to the same data stream type in order to be able to generate Patterns from them.
C) Uncheck the "Case Sensitive" checkbox in the data classification
D) Toggle the 'Structure Compliant' OFF.

5. 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" - Generic Entity Key 2
"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 January (entire month). What is the number of opportunities in the Interest stage?

A) 0
B) 3
C) 1
D) 2

Solutions: