An Agentforce wants to use the related lists from an account in a custom prompt template. What should the Agentforce Specialist consider when configuring the prompt template?
Correct Answer:
B
When configuring a custom prompt template to use related lists, the Agentforce Specialist must be aware of the maximum number of related list merge
fields that can be included. Salesforce enforces limits to ensure prompt templates perform efficiently and do not overload the system with too much data. As a best practice, it's important to monitor and optimize the number of merge fields used.
✑ Option B is correct because there is a limit on how many related list merge fields
can be included in a prompt template.
✑ Option A (text encoding) and Option C (XML/JSON rendering) are not key considerations in this context.
References:
✑ Salesforce Prompt Builder Documentation: https://help.salesforce.com/s/articleView?id=sf.prompt_builder.htm
Universal Containers wants to implement a solution in Salesforce with a custom UX that allows users to enter a sales order number. Subsequently, the system will invoke a custom prompt template to create and display a summary of the sales order header and sales order details. Which solution should an Agentforce Specialist implement to meet this requirement?
Correct Answer:
C
Comprehensive and Detailed In-Depth Explanation:Universal Containers (UC) requires a solution with a custom UX for users to input a sales order number, followed by invoking a custom prompt template to generate and display a summary. Let??s evaluate each option based on this requirement and Salesforce Agentforce capabilities.
✑ Option A: Create an autolaunched flow and invoke the prompt template using the standard "Prompt Template" flow action.An autolaunched flow is a background process that runs without user interaction, triggered by events like record updates or platform events. While it can invoke a prompt template using the "Prompt Template" flow action (available in Flow Builder to integrate Agentforce prompts), it lacks a user interface. Since UC explicitly needs a custom UX for users to enter a sales order number, an autolaunched flow cannot meet this requirement, as it doesn??t provide a way for users to input data directly.
✑ Option B: Create a template-triggered prompt flow and invoke the prompt template using the standard "Prompt Template" flow action.There??s no such thing as a "template-triggered prompt flow" in Salesforce terminology. This appears to be a misnomer or typo in the original question. Prompt templates in Agentforce are reusable configurations that define how an AI processes input data, but they are not a type of flow. Flows (like autolaunched or screen flows) can invoke prompt templates, but "template-triggered" is not a recognized flow type in Salesforce documentation. This option is invalid due to its inaccurate framing.
✑ Option C: Create a screen flow to collect the sales order number and invoke the prompt template using the standard "Prompt Template" flow action.A screen flow provides a customizable user interface within Salesforce, allowing users to input data (e.g., a sales order number) via input fields. The "Prompt Template" flow action, available in Flow Builder, enables integration with Agentforce by passing user input (the sales order number) to a custom prompt template. The prompt template can then query related data (e.g., sales order header and details) and generate a summary, which can be displayed back to the user on a subsequent screen. This solution meets UC??s need for a custom UX and seamless integration with Agentforce prompts, making it the best fit.
Why Option C is Correct:Screen flows are ideal for scenarios requiring user interaction
and custom interfaces, as outlined in Salesforce Flow documentation. The "Prompt Template" flow action enables Agentforce??s AI capabilities within the flow, allowing UC to collect the sales order number, process it via a prompt template, and display the result—all within a single, user-friendly solution. This aligns with Agentforce best practices for integrating AI-driven summaries into user workflows.
References:
✑ Salesforce Help: Flow Builder > Prompt Template Action – Describes how to use the "Prompt Template" action in flows to invoke Agentforce prompts.
✑ Trailhead: Build Flows with Prompt Templates – Highlights screen flows for user- driven AI interactions.
✑ Agentforce Studio Documentation: Prompt Templates – Explains how prompt templates process input data for summaries.
Universal Containers is very concerned about security compliance and wants to understand:
Which prompt text is sent to the large language model (LLM)
* How it is masked
* The masked response
What should the Agentforce Specialist recommend?
Correct Answer:
C
To address security compliance concerns and provide visibility into the prompt text sent to the LLM, how it is masked, and the masked response, the Agentforce Specialist should recommend enabling the audit trail in the Einstein Trust Layer. This feature captures and logs the prompts sent to the large language model (LLM) along with the masking of sensitive information and the AI's response. This audit trail ensures full transparency and compliance with security requirements.
✑ Option A (Einstein Shield Event logs) is focused on system events rather than
specific AI prompt data.
✑ Option B (debug logs) would not provide the necessary insight into AI prompt masking or responses.
For further details, refer to Salesforce's Einstein Trust Layer documentation about auditing and security measures.
An Agentforce Specialist wants to troubleshoot their Agent??s performance. Where should the Agentforce Specialist go to access all user interactions with the Agent, including Agent errors, incorrectly triggered actions, and incomplete plans?
Correct Answer:
C
Comprehensive and Detailed In-Depth Explanation:The Agentforce Specialist needs a comprehensive view of user interactions, errors, and action issues for troubleshooting. Let??s evaluate the options.
✑ Option A: Plan CanvasPlan Canvas in Agent Builder visualizes an agent??s execution plan for a single interaction, useful for design but not for aggregated troubleshooting data like errors or all interactions, making it incorrect.
✑ Option B: Agent SettingsAgent Settings configure the agent (e.g., topics, channels), not provide interaction logs or error details. This is for setup, not analysis, making it incorrect.
✑ Option C: Event LogsEvent Logs in Agentforce (accessible via Setup or Agent Analytics) record all user interactions, including errors, incorrectly triggered actions, and incomplete plans. They provide detailed telemetry (e.g., timestamps, action outcomes) for troubleshooting performance issues, making this the correct answer.
Why Option C is Correct:Event Logs offer the full scope of interaction data needed for troubleshooting, as per Salesforce documentation.
References:
✑ Salesforce Agentforce Documentation: Agent Analytics > Event Logs – Details interaction and error logging.
✑ Trailhead: Monitor and Optimize Agentforce Agents – Recommends Event Logs for troubleshooting.
✑ Salesforce Help: Agentforce Performance – Confirms logs for diagnostics.
Which business requirement presents a good use case for leveraging Einstein Prompt Builder?
Correct Answer:
C
✑ Context of the Question
✑ Einstein Prompt Builder Typical Use Cases
✑ ConclusionOption C (Send reply to a request for proposal via a personalized email) is the best match for Einstein Prompt Builder??s generative text functionality.
Salesforce Agentforce Specialist References & Documents
✑ Salesforce Documentation: Einstein Prompt Builder OverviewHighlights how to use Prompt Builder to create and customize text-based responses, especially for email or record fields.
✑ Salesforce Agentforce Specialist Study GuideExplains that generative AI features in Salesforce are designed for creating or summarizing text, not for advanced predictive use cases (like forecasting or lead scoring).