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AI-201 · Question #14

When configuring a prompt template, an Agentforce Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response. Which…

The correct answer is B. It shows the response from the LLM based on the sample record. In Salesforce Agentforce, when previewing a prompt template, the interface displays two outputs: Resolution and Response. These terms relate to how the prompt is processed and evaluated, particularly in the context of the Einstein Trust Layer, which ensures AI safety…

AI Features for Service (e.g., Einstein Bots, Next Best Action)

Question

When configuring a prompt template, an Agentforce Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response. Which information does the Resolution text provide?

Options

  • AIt shows the full text that is sent to the Trust Layer.
  • BIt shows the response from the LLM based on the sample record.
  • CIt shows which sensitive data is masked before it is sent to the LLM.

How the community answered

(17 responses)
  • A
    6% (1)
  • B
    88% (15)
  • C
    6% (1)

Explanation

In Salesforce Agentforce, when previewing a prompt template, the interface displays two outputs: Resolution and Response. These terms relate to how the prompt is processed and evaluated, particularly in the context of the Einstein Trust Layer, which ensures AI safety, compliance, and auditability. The Resolution text specifically refers to the full text that is sent to the Trust Layer for processing, monitoring, and governance (Option A). This includes the constructed prompt (with grounding data, instructions, and variables) as it's submitted to the large language model (LLM), along with any Trust Layer interventions (e.g., masking, filtering) applied before or after LLM processing. It's a comprehensive view of the input/output flow that the Trust Layer captures for auditing and compliance purposes.

Topics

#Prompt templates#LLM responses#AI for service agents#Agentforce

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