AI-201 · Question #66
An administrator is responsible for ensuring the security and reliability of Universal Containers' (UC) CRM data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to…
The correct answer is B. Dynamic grounding with secure data retrieval. Dynamic grounding with secure data retrieval is the Einstein Trust Layer feature that satisfies all three of UC's requirements simultaneously. It allows relevant data from Salesforce records (such as account details, case history, or contact information) to be securely…
Question
An administrator is responsible for ensuring the security and reliability of Universal Containers' (UC) CRM data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt. Which feature in the Einstein Trust Layer best supports UC's need?
Options
- AData masking
- BDynamic grounding with secure data retrieval
- CZero-data retention policy
How the community answered
(65 responses)- A15% (10)
- B77% (50)
- C8% (5)
Explanation
Dynamic grounding with secure data retrieval is the Einstein Trust Layer feature that satisfies all three of UC's requirements simultaneously. It allows relevant data from Salesforce records (such as account details, case history, or contact information) to be securely retrieved and merged into the prompt sent to the LLM, providing the AI with the context it needs to give accurate, personalized responses. Critically, this retrieval happens through Salesforce's secure, governed infrastructure, ensuring data protection and compliance. Data masking (A) protects sensitive fields but doesn't merge record context into prompts, and zero-data retention (C) addresses data storage by the LLM provider but does not itself enable grounding prompts with record data.
Topics
Community Discussion
No community discussion yet for this question.