AI-201 · Question #112
Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language. Which action should an Al Specialist take in
The correct answer is C. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to. Creating a Trust Layer audit report in Data Cloud with a toxicity detector type filter provides a scalable, queryable view of all LLM interactions where toxicity detection ran-including scores and outcomes. This gives a high-confidence, systematic way to validate the feature is w
Question
Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language. Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?
Options
- AAccess the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.
- BCreate a flow that sends an email to a specified address each time the toxicity score from the
- CCreate a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to
How the community answered
(44 responses)- A11% (5)
- B7% (3)
- C82% (36)
Explanation
Creating a Trust Layer audit report in Data Cloud with a toxicity detector type filter provides a scalable, queryable view of all LLM interactions where toxicity detection ran-including scores and outcomes. This gives a high-confidence, systematic way to validate the feature is working across all transactions. Option A is incorrect because there is no dedicated 'Toxicity Detection log' export in Setup structured that way. Option B describes a custom Flow-based notification approach, which is not a standard Salesforce mechanism for auditing Trust Layer toxicity and would not provide the breadth of data needed for confident validation.
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