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An AI Specialist configured Data Masking within the Einstein Trust Layer. How should the AI Specialist begin validating that the correct fields are being masked?
Correct Answer: B
To begin validating that the correct fields are being masked inEinstein Trust Layer, the AI Specialist should request theEinstein Generative AI Audit Datafrom theSecurity sectionof the Salesforce Setup menu. This audit data allows the AI Specialist to see how data is being processed, including which fields are being masked, providing transparency and validation that the configuration is working as expected. * Option Bis correct because it allows for the retrieval of audit data that can be used to validate data masking. * Option A(Flow Debugger) andOption C(Einstein Feedback) do not relate to validating field masking in the context of theEinstein Trust Layer. References: * Salesforce Einstein Trust Layer Documentation:https://help.salesforce.com/s/articleView?id=sf. einstein_trust_layer_audit.htm
Recent Comments (The most recent comments are at the top.)
abi - Jul 10, 2025
Correct Answer: A. Use a Flow-based resource in Prompt Builder to debug the fields' merge values using Flow Debugger.
Upeka Kelly - Apr 25, 2025
Pepe don't be a donkey here! it is A: When working with Data Masking within the Einstein Trust Layer, the goal is to ensure that sensitive data is properly masked before it's passed to the generative AI models. To validate that the correct fields are masked, the Prompt Builder's Flow Debugger allows the AI Specialist to test and visually inspect the values that are being merged into prompts — including whether fields are masked as expected.
Pepe - Feb 25, 2025
I'm pretty sure the correct answer is C.
I can't seem to find the "Request the Einstein Generative AI Audit Data" option in the Security section (or anywhere else), while I know it is neccessary to enable collection and storage of Einstein generative AI audit and feedback data for analysis in Setup > Einstein Feedback and Monitoring Setup. Then you can access this data via Dashboards.
Recent Comments (The most recent comments are at the top.)
Correct Answer: A. Use a Flow-based resource in Prompt Builder to debug the fields' merge values using Flow Debugger.
Pepe don't be a donkey here! it is A: When working with Data Masking within the Einstein Trust Layer, the goal is to ensure that sensitive data is properly masked before it's passed to the generative AI models. To validate that the correct fields are masked, the Prompt Builder's Flow Debugger allows the AI Specialist to test and visually inspect the values that are being merged into prompts — including whether fields are masked as expected.
I'm pretty sure the correct answer is C.
I can't seem to find the "Request the Einstein Generative AI Audit Data" option in the Security section (or anywhere else), while I know it is neccessary to enable collection and storage of Einstein generative AI audit and feedback data for analysis in Setup > Einstein Feedback and Monitoring Setup. Then you can access this data via Dashboards.