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An Agentforce configured Data Masking within the Einstein Trust Layer. How should theAgentforce Specialistbegin validating that the correct fields are being masked?
Correct Answer: C
To begin validating that the correct fields are being masked inEinstein Trust Layer, theAgentforce Specialistshould request theEinstein Generative AI Audit Datafrom theSecurity sectionof the Salesforce Setup menu. This audit data allows theAgentforce Specialistto 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.)
The provided explanation is correct but the answer letter is wrong. Correct answer: B Audit Data provides visibility into how prompts are processed, including which fields are masked before being sent to the LLM. This data is accessible from the Security section of the Salesforce Setup menu, offering a centralized and secure way to review masking behavior. Wrong answers A. This tool helps debug merge values in flows, not the masking behavior of the Einstein Trust Layer. It doesn't show how data is masked before LLM interaction. C. This is a prerequisite step to start collecting audit data, but it doesn't itself validate masking. Validation requires reviewing the audit data, which is done via the Security section.
1. From Setup, in the Quick Find box, enter Einstein Audit, and then select Einstein Audit, Analytics, and Monitoring Setup. 2. On the Einstein Audit, Analytics, and Monitoring Setup page, turn on Audit and Feedback.
in order to request or access any data, we first need to turn on this feature.
Mark - Oct 14, 2025
Correct answer: C
To validate that Data Masking is working correctly within the Einstein Trust Layer, the Agentforce Specialist needs to see what data was actually sent to the AI model — i.e., whether sensitive fields were masked in the prompt.
Here’s how each option fits:
⸻ A. Use a Flow-based resource in Prompt Builder to debug the fields’ merge values using Flow Debugger. ❌ • The Flow Debugger only shows local Salesforce data, not what’s actually sent to or masked by the Einstein Trust Layer. • So it doesn’t verify prompt masking. ⸻
B. Request the Einstein Generative AI Audit Data from the Security section of Setup. ❌ • You can’t directly request this data from Setup; it’s only available after audit logging is enabled. • This is a later step, not how you “begin validating.” ⸻ C. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page. ✅ • This enables Audit Data logging, which captures the prompts and responses processed by the Trust Layer — showing how masking was applied. • Once enabled, you can view audit data to confirm that the right fields (e.g., names, emails) are masked correctly.
Recent Comments (The most recent comments are at the top.)
C
https://help.salesforce.com/s/articleView?id=ai.generative_ai_feedback_enable.htm&type=5
The provided explanation is correct but the answer letter is wrong.
Correct answer: B
Audit Data provides visibility into how prompts are processed, including which fields are masked before being sent to the LLM.
This data is accessible from the Security section of the Salesforce Setup menu, offering a centralized and secure way to review masking behavior.
Wrong answers
A. This tool helps debug merge values in flows, not the masking behavior of the Einstein Trust Layer. It doesn't show how data is masked before LLM interaction.
C. This is a prerequisite step to start collecting audit data, but it doesn't itself validate masking. Validation requires reviewing the audit data, which is done via the Security section.
I think the correct answer is C - https://help.salesforce.com/s/articleView?id=ai.generative_ai_feedback_enable.htm&type=5
1. From Setup, in the Quick Find box, enter Einstein Audit, and then select Einstein Audit, Analytics, and Monitoring Setup.
2. On the Einstein Audit, Analytics, and Monitoring Setup page, turn on Audit and Feedback.
in order to request or access any data, we first need to turn on this feature.
Correct answer: C
To validate that Data Masking is working correctly within the Einstein Trust Layer, the Agentforce Specialist needs to see what data was actually sent to the AI model — i.e., whether sensitive fields were masked in the prompt.
Here’s how each option fits:
⸻
A. Use a Flow-based resource in Prompt Builder to debug the fields’ merge values using Flow Debugger. ❌
• The Flow Debugger only shows local Salesforce data, not what’s actually sent to or masked by the Einstein Trust Layer.
• So it doesn’t verify prompt masking.
⸻
B. Request the Einstein Generative AI Audit Data from the Security section of Setup. ❌
• You can’t directly request this data from Setup; it’s only available after audit logging is enabled.
• This is a later step, not how you “begin validating.”
⸻
C. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page. ✅
• This enables Audit Data logging, which captures the prompts and responses processed by the Trust Layer — showing how masking was applied.
• Once enabled, you can view audit data to confirm that the right fields (e.g., names, emails) are masked correctly.
⸻...
B is correct
B is the correct answer
Correct Answer is B
https://help.salesforce.com/s/articleView?id=ai.generative_ai_feedback_enable.htm&type=5