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Salesforce Marketing-Cloud-Intelligence Exam Sample Questions


Question # 1

An implementation engineer is requested to apply the following logic:



To apply the above logic, the engineer used only the Harmonization Center, without any mapping manipulations. What is the minimum amount of Patterns creating both ‘Platform’ and ‘Line of Business’?"
A. 2
B. 3
C. 5
D. 4


B. 3
Explanation: To create both 'Platform' and 'Line of Business' fields using Patterns in the Harmonization Center without mapping manipulations, the engineer would need to create separate patterns for each data source mentioned. According to the provided images:
One pattern for LinkedIn Ads, to extract the 'Campaign Name' at position 4 for the Platform and 'Media Buy Name' at position 7 for Line of Business.
One pattern for AdRoll, to extract 'Media Buy Name' at position 3 for Platform and at position 2 for Line of Business.
One pattern for Google Analytics, which seems not required for the Platform but could apply if the Line of Business extraction is necessary, although it states N/A.
Hence, a minimum of 3 patterns would be necessary to create the fields required.




Question # 2

What is the relationship between "Media Buy Key" and "Creative Key?
A. One-to-many (one Media Buy ley has many Creative Key)
B. One-to-one
C. Many-to-many
D. Many-to-one (one Creative Key has many Media Buy Keys)


A. One-to-many (one Media Buy ley has many Creative Key)
Explanation: In Marketing Cloud Intelligence, the "Media Buy Key" is typically associated with the purchase details of a media campaign, such as the platform, audience, and budget. The "Creative Key" relates to the specific creative asset used within a campaign, like an image, video, or text. A single media buy can have multiple creative variations to test performance or to target different audiences, leading to a one-to-many relationship.




Question # 3

A client provides the following two data streams:
Data Stream 1:



Question-

The client would like to use a VLOOKUP formula to calculate the Cost per Campaign Advertiser on January 1st 2020. Which mapping options should the client apply to obtain the expected result?

A. Option A
B. Option B
C. Option C
D. Option D


A. Option A
Explanation: To calculate Cost per Campaign Advertiser using a VLOOKUP formula, the client needs to look up the 'Cost' from Data Stream 2 based on a matching 'Media Buy Name' in Data Stream 1. Option A shows that 'Media Buy Name' is the lookup value, which is correct. The 'Campaign Advertiser' is then linked to the 'Cost' from Data Stream 2 through the VLOOKUP formula applied to the 'Media Buy Custom Attribute 01' in Data Stream 2. This setup will correctly associate the cost with the campaign advertiser.




Question # 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” — Main Generic Entity Attribute “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 11th. What is the number of opportunities in the Interest stage?
A. 1
B. 3
C. 2
D. 0


D. 0
Explanation: Since the pivot table is filtered on January 11th and the provided Opportunity file does not show any records dated January 11th, there are zero opportunities in the Interest stage for that date. Salesforce Marketing Cloud Intelligence allows users to create pivot tables and filter data based on specific criteria, such as dates. In this case, the filter would exclude all rows that do not match the specified date, resulting in a count of zero for the Interest stage. This would apply to any stage since there are no records for January 11th. Reference can be made to Salesforce Marketing Cloud Intelligence documentation on filtering and pivot tables.




Question # 5

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:

A. Option A
B. Option B
C. Option C
D. Option D


A. Option A
Explanation: In Salesforce Marketing Cloud Intelligence, connections between source files and classification files are established through common keys that link data records. For this scenario:
The "1st Party Creative Classification" file has a "Creative ID" field which corresponds to the "Creative Key" in the "Twitter Ads" data. This link enables enrichment of Twitter Ads data with creative classification details.
The "1st Party Placement Classification" file will contain a "Placement ID" that connects to a corresponding field in the "Twitter Ads" data, enabling the enrichment of placement classification details.
Option A appears to accurately depict this setup where data streams for "Creative Classification" and "Placement Classification" are connected to the "Twitter Ads" data stream using the "Creative ID" and "Placement ID", respectively. This structure allows for the enhancement of the main Twitter Ads data with additional classification information.



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