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?
Correct Answer: A
Comprehensive and Detailed In-Depth Explanation:In Salesforce Agentforce, when previewing a prompt template, the interface displays two outputs:ResolutionandResponse. These terms relate to how the prompt is processed and evaluated, particularly in the context of theEinstein Trust Layer, which ensures AI safety, compliance, and auditability. TheResolution textspecifically 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.
* Option B: The "Response" output in the preview shows the LLM's generated text based on the sample record, not the Resolution. Resolution encompasses more than just the LLM response-it includes the entire payload sent to the Trust Layer.
* Option C: While the Trust Layer does mask sensitive data (e.g., PII) as part of its guardrails, the Resolution text doesn't specifically isolate "which sensitive data is masked." Instead, it shows the full text, including any masked portions, as processed by the Trust Layer-not a separate masking log.
* Option A: This is correct, as Resolution provides a holistic view of the text sent to the Trust Layer, aligning with its role in monitoring and auditing the AI interaction.
Thus, Option A accurately describes the purpose of the Resolution text in the prompt templatepreview.
References:
* Salesforce Agentforce Documentation: "Preview Prompt Templates" (Salesforce Help:https://help.
salesforce.com/s/articleView?id=sf.agentforce_prompt_preview.htm&type=5)
* Salesforce Einstein Trust Layer Documentation: "Trust Layer Outputs" (https://help.salesforce.com/s
/articleView?id=sf.einstein_trust_layer.htm&type=5)
Recent Comments (The most recent comments are at the top.)
Correct answer is A. Running tests risks modifying CRM data in a production environment.
This answer reflects the necessary caution that Salesforce imposes on Generative AI testing, particularly because the Agent's actions are live transactions that can modify data.
Risk of Modifying CRM Data (A):
This statement is TRUE in the sense that the agent's actions (which are Flows, Apex, or Prompts) are transactional. If a test is run in a production environment or an environment with live data, and the agent's action includes a step like "Update Record" or "Create Record," the test execution will modify the actual CRM data. This is why the Testing Center environment is primarily used in sandboxes with test data.
Note: Although testing should ideally be done in a sandbox, the inherent nature of the Agent's actions is the ability to modify data, leading to this critical risk consideration.
Why the Other Options are Incorrect
B. Running tests does not consume Einstein Requests.
This is FALSE. All interactions that invoke the Generative AI Large Language Model (LLM)—including test runs in the Testing Center or Agent Builder—consume Einstein Requests (or Flex Credits), which are billable quota units.
C. Agentforce Testing Center can only be used in a production environment.
This is FALSE. The Testing Center is available and intended for use in both sandbox and production environments, but it is heavily encouraged to perform the majority of testing in a sandbox to mitigate the risk mentioned in Option A....