Universal Containers' service team wants to customize the standard case summary response from Agentforce. What should the Agentforce Specialist do to achieve this?
Correct Answer: A
Comprehensive and Detailed In-Depth Explanation: UC's service team seeks to customize the standard case summary response provided by Agentforce. Let's assess the options for tailoring this output. * Option A: Create a custom Record Summary prompt template for the Case object.In Prompt Builder, the standard Record Summary prompt template generates summaries for objects like Case. To customize it, the Agentforce Specialist can create a new custom prompt template, specifying the Case object as the source, and adjust the instructions (e.g., tone, fields included) to meet UC's needs. This new template can then be invoked by an agent or flow, providing a tailored summary. This approach offers full control and aligns with Salesforce's customization process, making it the correct answer. * Option B: Summarize the Case with a standard Agent action.Standard Agent actions (e.g., "Answer Questions") don't specifically target case summarization-they're broader in scope. There's no out-of- the-box "Summarize Case" action that allows customization of the response format, making this insufficient and incorrect. * Option C: Customize the standard Record Summary template for the Case object.Standard prompt templates in Prompt Builder (e.g., Record Summary) are read-only and cannot be directly edited. Customization requires cloning or creating a new template, not modifying the standard one, making this incorrect. Why Option A is Correct: Creating a custom Record Summary prompt template allows full customization of the case summary, leveraging Prompt Builder's flexibility, as per Salesforce best practices. References: Salesforce Agentforce Documentation: Prompt Builder > Custom Templates- Details creating custom summaries. Trailhead: Build Prompt Templates in Agentforce- Explains customizing standard outputs. Salesforce Help: Record Summaries with AI- Recommends custom templates for tailored results.
Question 102
An Agentforce is setting up a new org and needs to ensure that users can create and execute prompt templates. The Agentforce Specialist is unsure which roles are necessary for these tasks. Which permission sets should the Agentforce Specialist assign to users who need to create and execute prompt templates?
Correct Answer: B
To effectively manage and use prompt templates, two distinct permission sets are required: * Prompt Template Manager: This permission set allows users to create prompt templates. It provides the necessary access to define templates, which can be shared and utilized across the organization. * Prompt Template User: This permission set is designed for users who need to execute the templates. It provides the ability to interact with pre-designed prompts and generate outcomes based on these templates. TheData Cloud Adminpermission set is not directly relevant to creating or executing prompt templates but is more focused on managing the Data Cloud. Reference: "Permissions and Access for Prompt Templates | Salesforce Trailhead" .
Question 103
A data science team has trained an XGBoost classification model for product recommendations on Databricks. The Agentforce Specialist is tasked with bringing inferences for product recommendations from this model into Data Cloud as a stand-alone data model object (DMO). How should the Agentforce Specialist set this up?
Correct Answer: A
To integrate inferences from an XGBoost model into Salesforce's Data Cloud as a stand-alone Data Model Object (DMO): * Create the Serving Endpoint in Databricks: * The serving endpoint is necessary to make the trained model available for real-time inference. Databricks provides tools to host and expose the model via an endpoint. * Configure the Model Using Model Builder: * After creating the endpoint, the Agentforce Specialist should configure it within Einstein Studio's Model Builder, which integrates external endpoints with Salesforce Data Cloud for processing and storing inferences as DMOs. * Option B: Serving endpoints are not created in Einstein Studio; they are set up in external platforms like Databricks before integration. * Option C: A Python SDK connector is not used to bring model inferences into Salesforce Data Cloud; Model Builder is the correct tool. Reference: "Einstein Studio and Model Integration with External Endpoints | Salesforce Trailhead" .
Question 104
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 acustom UXfor 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 acustom UXfor 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 105
Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level. In the score of 1 indicate?
Correct Answer: C
Einstein Trust Layer's Toxicity Scoring categorizes content on a scale of 0 to 1, where 1 indicates the highest level of toxicity (e.g., harmful, biased, or inappropriate language). This scoring helps organizations filter unsafe AI-generated content. A score of 1 triggers mitigation actions, such as blocking the response or alerting administrators. * A score of 0 would indicate no toxicity (B is incorrect). * The scoring system does not use "least toxic" as a category (A is misleading). Reference: Salesforce Help Article: Einstein Trust Layer - Toxicity Scoring ("Interpreting Toxicity Scores" section). Einstein GPT Safety Overview: "Mitigating Harmful Content with Toxicity Detection."
