Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:

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

2. A client has integrated data from Facebook Ads, Twitter Ads, and Google Ads in Marketing Cloud Intelligence. For each data source, the data follows a naming convention as shown below:
Facebook Ads Naming Convention - Campaign Name:
Camp|D_CampName#Market_Objective#TargetAge_TargetGender
Twitter Ads Naming Convention - Media Buy Name:
Market|TargetAge|Objective|OrderID
' Google Ads Naming Convention - Media Buy Name:
Buying Type_Market_Objective
The client wants to harmonize their data on the common fields between these two platforms (i.e. Market and Objective) using the Harmonization 'Center.
In addition to the previous details, the client provides the following data sample:


Logic specification:
If a value is not present in the Validation List, return "Not Valid"
If a value is not present in the Classification File, return "Unclassified".
If the Harmonization center is used to harmonize the above data and files, what table will show the final output?

A)

B)

C)

D)

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

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

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

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 Jan 7th - 10th. How many different stages are presented in the table?

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

Solutions: