Northern Trail Outfitters has enabled Email Engagement Scoring in Marketing Cloud Next to generate predictions...

The correct Data Model Object is Email Engagement Score . Einstein Engagement Scoring evaluates historical email engagement behavior and creates predictive attributes that can be used to understand the likelihood of future customer actions. Salesforce identifies the Email Engagement Score DMO as the Data 360 object used for reporting on engagement personas and likelihood measures such as email opens, clicks, and subscription-related behavior.

The DMO can also be incorporated into Data Graph relationships. For example, when an Einstein Decision element relies on Engagement Scoring, Salesforce requires the Contact Point Email DMO to include the Einstein Engagement Score DMO as a related object and the appropriate attributes, such as Email Click Likelihood and Email Open Likelihood.

"Email Engagement Metrics" and "Email Engagement Profile" aren't the standard DMOs Salesforce specifies for these predictive outputs. They therefore don't represent the correct persisted scoring object.

The uploaded master bank also identifies option C as the keyed answer.

Study Guide Reference: Agentforce and AI Innovation → Einstein capabilities in Marketing Cloud Next; Analytics and Performance concepts → Data 360 reporting for Einstein features.

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