AI-201 · Question #78
Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback data to be accessible for reporting purposes. What is a…
The correct answer is A. Storing this data requires Data Cloud to be provisioned. Salesforce's Einstein Trust Layer captures audit data - including LLM prompts, responses, masked PII, and user feedback - and stores this data in Data Cloud. Therefore, to make this audit and feedback data available for reporting, Data Cloud must be provisioned in the org. This…
Question
Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback data to be accessible for reporting purposes. What is a consideration for this requirement?
Options
- AStoring this data requires Data Cloud to be provisioned.
- BStoring this data requires a custom object for data to be configured.
- CStoring this data requires Salesforce big objects.
How the community answered
(38 responses)- A84% (32)
- B11% (4)
- C5% (2)
Explanation
Salesforce's Einstein Trust Layer captures audit data - including LLM prompts, responses, masked PII, and user feedback - and stores this data in Data Cloud. Therefore, to make this audit and feedback data available for reporting, Data Cloud must be provisioned in the org. This is a deliberate architectural decision by Salesforce: Data Cloud acts as the persistence and analytics layer for Trust Layer telemetry. Option B ('custom object for data') is incorrect because Salesforce does not store Trust Layer audit data in custom objects. Option C ('Salesforce big objects') are designed for high-volume archival data, not for generative AI audit storage - the platform uses Data Cloud for this purpose.
Topics
Community Discussion
No community discussion yet for this question.