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Free Marketing-Cloud-Intelligence Exam Braindumps (page: 2)

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PDF with 63 Questions
View Related Case Study

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.



View Related Case Study

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.



View Related Case Study

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.



View Related Case Study

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.






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