An administrator wants to be able to create a multi-dimensional metric to identify unified individual lifetime value (LTV). Which sequence of DMO joins are necessary within the Calculated Insight to enable this calculation?
Answer : B
To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the administrator needs to join the following data model objects (DMOs) in the Calculated Insight:
Unified Individual: This DMO represents the unified profile of an individual, which contains attributes from multiple sources.
Unified Link Individual: This DMO represents the link between an Individual DMO and a Unified Individual DMO.
Sales Order: This DMO represents a transaction or purchase made by an individual.
The sequence of joins should start from the Unified Individual DMO, then join the Unified Link Individual DMO using the UnifiedIndividualId field, and then join the Sales Order DMO using the IndividualId field. This way, the administrator can access the sales order data for each unified individual and calculate their lifetime value.
What are three benefits of Calculated Insights over Segmentation Operators?
Answer : A, D, E
Calculated Insights are predefined and calculated metrics that can help you build segments. Some of the benefits of Calculated Insights over Segmentation Operators are:
Calculated Insights are better suited for non-trivial calculations, such as calculating a Net Promoter Score as a percentage, which would require multiple steps and operators in segmentation.
Calculated Insights can query engagement data greater than 2 years, while segmentation operators are limited to 2 years of engagement data.
Calculated Insights are better suited for complex queries over multiple objects, such as joining data from different sources or aggregating data across different levels.
Which data model object category can a Data Cloud user create segments on?
Answer : B
According to the Data Cloud documentation, segments can only be created on the Unified Individual entity, which represents the result of Identity Resolution. The other data model object categories, such as Profile, Engagement, and Other, are not available for segmentation.
When creating a segment on an individual, what is the result of using two separate containers linked by an AND: At Least 1 of GoodsProduct.Color Is Equal To 'red' AND At Least 1 of GoodsProduct.PrimaryProductCategory Is Equal To shoes'?
Answer : A
According to the Data Cloud documentation, when using two separate containers linked by an AND operator, the segment includes individuals who meet both conditions. In this case, the segment includes individuals who purchased at least one product with the color attribute equal to 'red', and also purchased at least one product with the primary product category attribute equal to 'shoes'. The products do not have to be the same or in the same order line item.
A customer has a custom 'Customer_Email_c' object related to the standard 'Contact' object in Salesforce CRM. To which data entity is this mapped?
Answer : B
The custom 'Customer_Email_c' object related to the standard 'Contact' object in Salesforce CRM should be mapped to the Contact Point Email entity in the Customer 360 data model. This entity represents an email address that is associated with an individual or an account contact. Reference: [Contact Point Email Entity]
What should be the type of the Event Time Field while ingesting Engagement data?
How do the Data streams that use the Marketing Cloud Connector refresh data?