Question 1
Choose 1
After a predictive model is activated in Data 360, where are the resulting scores or predictions typically stored
for use in segmentation?
Correct answer:
B. As an attribute on a related data model object (DMO)
Explanation:
This question tests understanding of how predictive model outputs are stored and used in Salesforce Data 360. After activation, prediction scores must be accessible for segmentation, personalization, and analytics within the Data Cloud data model.
🟢 B. As an attribute on a related data model object (DMO)
When predictive models are activated in Data 360, the generated scores or predictions are typically written back as attributes on related DMOs such as Individual or Unified Profile objects. This allows marketers and analysts to directly use prediction values in segmentation, activation, and personalization workflows without relying on external systems.
🔴 A. Within the Audit Trail logs for security compliance
Audit Trail logs are used for tracking administrative and security-related activities. They are not designed to store predictive scores for segmentation or business use cases.
🔴 C. In a temporary CSV file available in the Setup menu
Predictive outputs are not stored as temporary CSV exports. Data 360 integrates predictions directly into the data model for operational use.
🔴 D. Directly within the source system (for example, Marketing Cloud or Sales Cloud) only
Predictions are not limited to external source systems. Data 360 stores and exposes them within its own unified data model to support segmentation and analytics.
🔧 Reference:
⇒ Salesforce Data Cloud Predictive Models Overview
Explains how prediction results are stored and used within Data Cloud for segmentation and customer intelligence.
This question tests understanding of how predictive model outputs are stored and used in Salesforce Data 360. After activation, prediction scores must be accessible for segmentation, personalization, and analytics within the Data Cloud data model.
🟢 B. As an attribute on a related data model object (DMO)
When predictive models are activated in Data 360, the generated scores or predictions are typically written back as attributes on related DMOs such as Individual or Unified Profile objects. This allows marketers and analysts to directly use prediction values in segmentation, activation, and personalization workflows without relying on external systems.
🔴 A. Within the Audit Trail logs for security compliance
Audit Trail logs are used for tracking administrative and security-related activities. They are not designed to store predictive scores for segmentation or business use cases.
🔴 C. In a temporary CSV file available in the Setup menu
Predictive outputs are not stored as temporary CSV exports. Data 360 integrates predictions directly into the data model for operational use.
🔴 D. Directly within the source system (for example, Marketing Cloud or Sales Cloud) only
Predictions are not limited to external source systems. Data 360 stores and exposes them within its own unified data model to support segmentation and analytics.
🔧 Reference:
⇒ Salesforce Data Cloud Predictive Models Overview
Explains how prediction results are stored and used within Data Cloud for segmentation and customer intelligence.