Free Access to Salesforce.Agentforce-Specialist.v2025-09-29.q108 with Valid Practice Test (Page 17)

Question 76

Universal Containers is rolling out a new generative AI initiative.
Which Prompt Builder limitations should theAgentforce Specialistbe aware of?

A.Rich text area fields are only supported in Flex template types.
B.Creations or updates to the prompt templates are not recorded in the Setup Audit Trail.
C.Custom objects are supported only for Flex template types.

Question 77

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?

A.It shows the full text that is sent to the Trust Layer.
B.It shows the response from the LLM based on the sample record.
C.It shows which sensitive data is masked before it is sent to the LLM.

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)

Question 78

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?

A.Create an autolaunched flow and invoke the prompt template using the standard "Prompt Template" flow action.
B.Create a template-triggered prompt flow and invoke the prompt template using the standard "Prompt Template" flow action.
C.Create a screen flow to collect the sales order number and invoke the prompt template using the standard "Prompt Template" flow action.

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.

Question 79

In a Knowledge-based data library configuration, what is the primary difference between the identifying fields and the content fields?

A.Identifying fields help locate the correct Knowledge article, while content fields enrich AI responses with detailed information.
B.Identifying fields categorize articles for indexing purposes, while content fields provide a brief summary for display.
C.Identifying fields highlight key terms for relevance scoring, while content fields store the full text of the article for retrieval.

Correct Answer: A

Comprehensive and Detailed In-Depth Explanation:In Agentforce, a Knowledge-based data library (e.g., via Salesforce Knowledge or Data Cloud grounding) uses identifying fields and content fields to support AI responses. Let's analyze their roles.
* Option A: Identifying fields help locate the correct Knowledge article, while content fields enrich AI responses with detailed information.In a Knowledge-based data library,identifying fields(e.g., Title, Article Number, or custom metadata) are used to search and pinpoint the relevant Knowledge article based on user input or context.Content fields(e.g., Article Body, Details) provide the substantive data that the AI uses to generate detailed, enriched responses. This distinction is critical for grounding Agentforce prompts and aligns with Salesforce's documentation on Knowledge integration, making it the correct answer.
* Option B: Identifying fields categorize articles for indexing purposes, while content fields provide a brief summary for display.Identifying fields do more than categorize-they actively locate articles, not just index them. Content fields aren't limited to summaries; they include full article content for response generation, not just display. This option underrepresents their roles and is incorrect.
* Option C: Identifying fields highlight key terms for relevance scoring, while content fields store the full text of the article for retrieval.While identifying fields contribute to relevance (e.g., via search terms), their primary role is locating articles, not just scoring. Content fields do store full text, but their purpose is to enrich responses, not merely enable retrieval. This option shifts focus inaccurately, making it incorrect.
Why Option A is Correct:The primary difference-identifying fields for locating articles and content fields for enriching responses-reflects their roles in Knowledge-based grounding, as per official Agentforce documentation.
References:
* Salesforce Agentforce Documentation: Grounding with Knowledge > Data Library Setup- Defines identifying vs. content fields.
* Trailhead: Ground Your Agentforce Prompts- Explains field roles in Knowledge integration.
* Salesforce Help: Knowledge in Agentforce- Confirms locating and enriching functions.

Question 80

A customer service representative is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related to this Itinerary. The representative needs to review the Knowledge articles about canceling and rebooking the customer flights.
Which Agentforce capability helps the representative accomplish this?

A.Invoke a flow which makes a call to external data to create a Knowledge article.
B.Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.
C.Generate Knowledge article based off the prompts that the agent enters to create steps to cancel flights.

Correct Answer: B

Comprehensive and Detailed In-Depth Explanation:
The scenario involves a customer service representative needing to cancel flights due to a weather alert and review existing Knowledge articles for guidance on canceling and rebooking. Agentforce provides capabilities to streamline such tasks. The most suitable option is Option B, which allows the agent to
"execute tasks based on available actions" (e.g., canceling flights via a predefined action) while "answering questions using information from accessible Knowledge articles." This capability leverages Agentforce's ability to integrate Knowledge articles into the agent's responses, enabling the representative to ask questions (e.g., "How do I cancel a flight?") and receive AI-generated answers grounded in approved Knowledge content. Simultaneously, the agent can trigger actions (e.g., a Flow to update the custom object) to perform the cancellations, meeting all requirements efficiently.
* Option A: Invoking a Flow to call external data and create a Knowledge article is unnecessary. The representative needs to review existing articles, not create new ones, and there's no indication external data is required for this task.
* Option B: This is correct. It combines task execution (canceling flights) with Knowledge article retrieval, aligning with the representative's need to act and seek guidance from existing content.
* Option C: Generating a new Knowledge article based on prompts is not relevant. The representative needs to use existing articles, not author new ones, especially in a time-sensitive weather alert scenario.
Option B best supports the representative's workflow in Agentforce.
:
Salesforce Agentforce Documentation: "Knowledge Replies and Actions" (Salesforce Help: https://help.
salesforce.com/s/articleView?id=sf.agentforce_knowledge_replies.htm&type=5) Trailhead: "Agentforce for Service" (https://trailhead.salesforce.com/content/learn/modules/agentforce-for- service)

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