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Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:

1. Which two statements are correct regarding LiteConnect?

A) Data coming from LiteConnect cannot be harmonized with the rest of the workspace data via the harmonization center at a later step.
B) All of the dimensions mapped within a LiteConnect data stream are considered overarching entities.
C) The dataset does not conform to the standard data model
D) It does not require any identification of entities, keys or any other categorization.

2. What are unstable measurements?

A) Measurements for which Aggregation Settings are set as 'Not Auto' and Granularity is set as 'None'.
B) Measurements for which Aggregation Settings are set as 'Not Auto' and Granularity is set as 'Not Empty'.
C) Measurements for which Aggregation Settings are set as 'Auto' and Granularity is set as 'None'.
D) Measurements that are set with the LIFETIME aggregation function

3. Which two statements are correct regarding variable Dimensions in marketing Cloud intelligence's data model?

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

4. 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) 3
B) 1
C) 2
D) 0

5. Your client provided the following sources:
Source 1:

Source 2:

Source 3:

As can be seen, the Product values present in sources 2 and 3 are similar and can be linked with the first extraction from 'Media Buy Name' in source1 The end goal is to achieve a final view of Product Group alongside Clicks and Sign Ups, as described below:

Which two options will meet the client's requirement and enable the desired view?

A) Custom Classification: 1
Source 1: Custom Classification key will be populated with the extraction of the Media Buy Name.
Source 2: 'Product' will be mapped to Custom Classification key and 'Product Group' to a Custom Classification level. Exam Timer Source 3: 'Product will be mapped to Custom Classification key. Came
B) Overarching Entities:
Source 1: custom classification key will be populated with the extraction of the Media Buy Name.
Source 2: 'Product' will be mapped to Product field and 'Product Group' to Product Name.
Source 3: 'Product' will be mapped to Product field.
C) Parent Child:
All sources will be uploaded to the same data stream type - Ads. The setup is the following:
Source 1: Media Buy Key -- Media Buy Key, extracted product value - Media Buy Attribute.
Source 2: Product - Media Buy Key, Product Group -- Media Buy Attribute.
Source 3: Product - Media Buy Key.
D) Harmonization Center:
Patterns from sources 1 and 3 generate harmonized dimension 'Product'. Data Classification rule, using source 2, is applied on top of the harmonized dimension

Solutions: