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Salesforce Marketing Cloud Intelligence Accredited Professional Sample Questions:

1. 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) 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.
B) 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
C) 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.
D) 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

2. An implementation engineer has been provided with the below dataset:

*Note: CPC = Cost per Click
Formula: Cost / Clicks
Which action should an engineer take to successfully integrate CPC?

A) Unmap it, as Datorama will calculate it automatically.
B) Populate the logic within a custom measurement. Set Aggregation to AVG.
C) Populate the logic within a custom measurement. Set Aggregation to SUM.
D) Populate the logic within a custom measurement. No need to change Aggregation.

3. 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.

Which three advantages does a client gain from using Calculated Dimensions as the harmonization method for creating the Objective field?

A) Ease of Maintenance - the logic is written and populated in one centralized place
B) Performance (Performance when loading a dashboard page) should be optimized as the values of calculated dimensions are stored within the database.
C) Data model restrictions - Calculated Dimensions do not need to adhere to Marketing Cloud Intelligence's data model
D) Scalability - future data streams that will follow similar logic will be automatically harmonized.
E) Processing - creation of Calculated Dimensions will ease the processing time of the data streams it relates to

4. 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) The dataset does not conform to the standard data model
C) All of the dimensions mapped within a LiteConnect data stream are considered overarching entities.
D) It does not require any identification of entities, keys or any other categorization.

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) 1
B) 3
C) 0
D) 2

Solutions: