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Salesforce Marketing-Cloud-Intelligence Exam (page: 1)
Salesforce Marketing Cloud Intelligence Accredited Professional
Updated on: 11-Aug-2025

Viewing Page 1 of 6
Marketing-Cloud-Intelligence PDF 63 Questions

Given the above information, which statement is correct regarding the ability to implement this request with the above suggestion?

A. The above Patterns setup will not work for this use case.
B. The solution will work - the client will be able to view with Email Sends.
C. Only if 5 different Patterns are created, from 5 different fields - the solution will work.
D. The Harmonized field for Exam ID is redundant. One Harmonized dimension for is enough for a sustainable and working solution

Answer(s): D

Explanation:
If the harmonization logic consistently associates a single with each Exam ID across all data sources, then creating two harmonized dimensions may be unnecessary. One harmonized dimension for would suffice because it inherently carries the Exam ID's uniqueness within it. The harmonized dimension for would allow the client to slice the data by values, fulfilling the requirement.

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?

  1. 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.
  2. 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.
  3. Upload the two files and create a Parent-Child relationship between them. The Override Media Buy Hierarchy checkbox is checked in Google Analytics.
  4. 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.

Answer(s): A

Explanation:

To create a linkage between Google Analytics and Salesforce Marketing Cloud data based on the "Message Send Key" and a portion of the "web_site_source_key," both values need to be harmonized into a common key. This is done by mapping the full Message Send Key from Salesforce

Marketing Cloud and the extracted part of the web_site_source_key from Google Analytics to the same Custom Classification Key. This mapping will create a common identifier that can be used to combine the data from both sources for analysis and visualization.




Given the above information, which statement is correct regarding the ability to implement this request with the above suggestion?

A. The above Patterns setup will not work for this use case.
B. The solution will work - the client will be able to view with Email Sends.
C. Only if 5 different Patterns are created, from 5 different fields - the solution will work.
D. The Harmonized field for Exam ID is redundant. One Harmonized dimension for is enough for a sustainable and working solution

Answer(s): D

Explanation:
If the harmonization logic consistently associates a single with each Exam ID across all data sources, then creating two harmonized dimensions may be unnecessary. One harmonized dimension for would suffice because it inherently carries the Exam ID's uniqueness within it. The harmonized dimension for would allow the client to slice the data by values, fulfilling the requirement.

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

  1. Every data stream type includes the Medio Buy entity
  2. All data stream types consist of at least one entity
  3. All data stream types share at least one mutual measurement
  4. Each data stream type has Its own main entity
  5. Each data stream type has its own set of measurements

Answer(s): B,D,E

Explanation:

In Marketing Cloud Intelligence, data stream types are templates that define how data should be structured within the system. Each data stream type:
B . Includes at least one entity, which is a fundamental component of the data stream and represents a collection of related data points.
D . Has its own main entity, which is the primary focus of that particular data stream type and serves as the central point of reference for the associated data. E. Contains its own unique set of measurements that are specific to the type of data being captured within that stream. These measurements represent quantitative data that can be analyzed within the context of the main entity and other dimensions present in the data stream. A is incorrect because not every data stream type includes the Media Buy entity--this is specific to certain types of advertising data streams. C is incorrect because not all data stream types share at least one mutual measurement; measurements are typically unique to the data stream's focus and purpose.




Given the above information, which statement is correct regarding the ability to implement this request with the above suggestion?

A. The above Patterns setup will not work for this use case.
B. The solution will work - the client will be able to view with Email Sends.
C. Only if 5 different Patterns are created, from 5 different fields - the solution will work.
D. The Harmonized field for Exam ID is redundant. One Harmonized dimension for is enough for a sustainable and working solution

Answer(s): D

Explanation:
If the harmonization logic consistently associates a single with each Exam ID across all data sources, then creating two harmonized dimensions may be unnecessary. One harmonized dimension for would suffice because it inherently carries the Exam ID's uniqueness within it. The harmonized dimension for would allow the client to slice the data by values, fulfilling the requirement.

What is the relationship between "Media Buy Key" and "Creative Key?

  1. One-to-many (one Media Buy ley has many Creative Key)
  2. One-to-one
  3. Many-to-many
  4. Many-to-one (one Creative Key has many Media Buy Keys)

Answer(s): A

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.




Given the above information, which statement is correct regarding the ability to implement this request with the above suggestion?

A. The above Patterns setup will not work for this use case.
B. The solution will work - the client will be able to view with Email Sends.
C. Only if 5 different Patterns are created, from 5 different fields - the solution will work.
D. The Harmonized field for Exam ID is redundant. One Harmonized dimension for is enough for a sustainable and working solution

Answer(s): D

Explanation:
If the harmonization logic consistently associates a single with each Exam ID across all data sources, then creating two harmonized dimensions may be unnecessary. One harmonized dimension for would suffice because it inherently carries the Exam ID's uniqueness within it. The harmonized dimension for would allow the client to slice the data by values, fulfilling the requirement.

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

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

Answer(s): A,B

Explanation:

Variable dimensions in Marketing Cloud Intelligence's data model are flexible and can be associated with multiple entities, forming a many-to-many relationship. These dimensions are configured and stored at the workspace level, allowing for customization and alignment with specific reporting needs and analytics practices.




Given the above information, which statement is correct regarding the ability to implement this request with the above suggestion?

A. The above Patterns setup will not work for this use case.
B. The solution will work - the client will be able to view with Email Sends.
C. Only if 5 different Patterns are created, from 5 different fields - the solution will work.
D. The Harmonized field for Exam ID is redundant. One Harmonized dimension for is enough for a sustainable and working solution

Answer(s): D

Explanation:
If the harmonization logic consistently associates a single with each Exam ID across all data sources, then creating two harmonized dimensions may be unnecessary. One harmonized dimension for would suffice because it inherently carries the Exam ID's uniqueness within it. The harmonized dimension for would allow the client to slice the data by values, fulfilling the requirement.

An Implementation engineer is requested to create a new harmonization field 'Offer' and apply the following logic:



The implementation engineer to use the Harmonization Center.
Which of the below actions can help implement the new dimension `Offer?

  1. Two separate patterns (filtered by Linkedin or AdRoll sources)
    Within Google Analytics' mapping A formula that reflects the logic above will be populated within a Web Analytics Site custom attribute
    Another pattern to be created for the newly Web Analytics Site custom attribute (filtered by Google Analytics source).
    A total of 3 patterns.
  2. Two separate patterns (filtered by Linkedin or AdRoll sources) Within Google Analytics' mapping: A formula that reflects the logic above will be populated within a Campaign custom attribute.
    Another pattern to be created for the newly campaign attribute (filtered by Google Analytics source).
    A total of 3 patterns
  3. Two separate patterns (filtered by Linkedin or AdRoll sources).
    Another single pattern for Campaign Name (filtered by Google Analytics source).
    A total of 3 patterns.
  4. Two separate patterns (filtered by Linkedln or AdRoll sources).
    Another single pattern for Web Analytics Site Source (filtered by Google Analytics source), extracting all three positions A total of 3 patterns.

Answer(s): B

Explanation:

To implement the new harmonization field 'Offer', the implementation engineer would create two separate harmonization patterns for LinkedIn and AdRoll sources, extracting the 'Campaign Name' using the specified delimiter and position. Then, within Google Analytics' mapping, a custom attribute for the 'Campaign' would be created to apply the formula logic based on the source. This allows for the harmonization of campaign data across different platforms, ensuring consistency in the reporting and analysis within Marketing Cloud Intelligence. The total patterns required would be three, one for each data source involved.



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EUROPEAN UNION


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TURKEY


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FRANCE


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EUROPEAN UNION


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Anonymous


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Anonymous


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Anonymous


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UNITED STATES


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Anonymous


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Anonymous


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NETHERLANDS


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SWEDEN


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CANADA


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UNITED STATES


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CANADA


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POLAND


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Anonymous


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Anonymous


LeAnne Hair 8/24/2023 12:47:00 PM

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UNITED STATES


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Anonymous


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UNITED KINGDOM


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Anonymous


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CANADA


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Anonymous


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Anonymous


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Anonymous


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UNITED STATES


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GERMANY


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AUSTRALIA


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HONG KONG


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NETHERLANDS


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Anonymous