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Salesforce Certified Agentforce Specialist Sample Questions (Q55-Q60):
NEW QUESTION # 55
Where should theAgentforce Specialistgo to add/update actions assigned to a copilot?
- A. Copilot Actions page or Global Actions
- B. Copilot Detail page, Global Actions, or the record page for the copilot action
- C. Copilot Actions page, the record page for the copilot action, or the Copilot Action Library tab
Answer: C
Explanation:
To add or update actions assigned to a copilot, An Agentforce can manage this through several areas:
* Copilot Actions Page: This is the central location where copilot actions are managed and configured.
* Record Page for the Copilot Action: From the record page, individual copilot actions can be updated or modified.
* Copilot Action Library Tab: This tab serves as a repository where predefined or custom actions for Copilot can be accessed and modified.
These areas provide flexibility in managing and updating the actions assigned to Copilot, ensuring that the AI assistant remains aligned with business requirements and processes.
The other options are incorrect:
* Bmisses the Copilot Action Library, which is crucial for managing actions.
* Cincludes the Copilot Detail page, which isn't the primary place for action management.
References:
* Salesforce Documentation onManaging Copilot Actions
* SalesforceAgentforce SpecialistGuide onCopilot Action Management
NEW QUESTION # 56
Universal Containers (UC) is using standard Service AI Grounding. UC created a custom rich text field to be used with Service AI Grounding.
What should UC consider when using standard Service AI Grounding?
- A. Service AI Grounding only works with Case and Knowledge objects.
- B. Service AI Grounding visibility works m system mode.
- C. Service AI Grounding only supports String and Text Area type fields.
Answer: C
Explanation:
Service AI Grounding retrieves data from Salesforce objects to ground AI-generated responses.Key considerations:
* Field Types: Standard Service AI Grounding supports String and Text Area fields. Custom rich text fields (e.g., RichTextArea) are not supported, making Option B correct.
* Objects: While Service AI Grounding primarily uses Case and Knowledge objects (Option A), the limitation here is the field type, not the object.
* Visibility: Service AI Grounding respects user permissions and sharing settings unless overridden (Option C is incorrect).
References:
* Salesforce Help: Service AI Grounding Requirements
* Explicitly states support for "Text Area and String fields" only.
NEW QUESTION # 57
A sales manager is using Agent Assistant to streamline their daily tasks. They ask the agent to Show me a list of my open opportunities.
How does the large language model (LLM) in Agentforce identify and execute the action to show the sales manager a list of open opportunities?
- A. The LLM uses a static set of rules to match the user's request with predefined topics and actions, bypassing the need for dynamic interpretation and planning.
- B. Using a dialog pattern. the LLM matches the user query to the available topic, action and steps then performs the steps for each action, such as retrieving a fast of open opportunities.
- C. The LLM interprets the user's request, generates a plan by identifying the apcMopnete topics and actions, and executes the actions to retrieve and display the open opportunities
Answer: C
Explanation:
Agentforce's LLM dynamically interprets natural language requests (e.g., "Show me open opportunities"), generates an execution plan using the planner service, and retrieves data via actions (e.g., querying Salesforce records). This contrasts with static rules (B) or rigid dialog patterns (C), which lack contextual adaptability. Salesforce documentation highlights the planner's role in converting intents into actionable steps while adhering to security and business logic.
NEW QUESTION # 58
A Salesforce Administrator is exploring the capabilities of Einstein Copilot to enhance user interaction within their organization. They are particularly interested in how Einstein Copilot processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Einstein Copilot directly interfaces with a large language model (LLM) to fetch and display responses to user inquiries, facilitating a broad range of requests from users.
How does Einstein Copilot handle user requests In Salesforce?
- A. Einstein Copilot will trigger a flow that utilizes a prompt template to generate the message.
- B. Einstein Copilot analyzes the user's request and LLM technology is used to generate and display the appropriate response.
- C. Einstein Copilot will perform an HTTP callout to an LLM provider.
Answer: B
Explanation:
Einstein Copilot is designed to enhance user interaction within Salesforce by leveraging Large Language Models (LLMs) to process and respond to user inquiries. When a user submits a request, Einstein Copilot analyzes the input using natural language processing techniques. It then utilizes LLM technology to generate an appropriate and contextually relevant response, which is displayed directly to the user within the Salesforce interface.
OptionCaccurately describes this process. Einstein Copilot does not necessarily trigger a flow (Option A) or perform an HTTP callout to an LLM provider (Option B) for each user request. Instead, it integrates LLM capabilities to provide immediate and intelligent responses, facilitating a broad range of user requests.
References:
* SalesforceAgentforce SpecialistDocumentation - Einstein Copilot Overview:Details how Einstein Copilot employs LLMs to interpret user inputs and generate responses within the Salesforce ecosystem.
* Salesforce Help - How Einstein Copilot Works:Explains the underlying mechanisms of how Einstein Copilot processes user requests using AI technologies.
NEW QUESTION # 59
Universal Containers has a new AI project.
What should An Agentforce consider when adding a related list on the Account object to be used in the prompt template?
- A. Prompt Builder must be used to assign the fields from the related list as a JSON format.
- B. The fields for the related list are based on the default page layout of the Account for the current user.
- C. After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.
Answer: C
Explanation:
* Context of the QuestionUniversal Containers (UC) wants to include details from a related list on the Account object in a prompt template. This is typically done via Prompt Builder in Salesforce's generative AI setup.
* Prompt Builder Behavior
* Selecting a Related List: Within Prompt Builder, you can navigate to the object (Account) and choose which related list (e.g., Contacts, Opportunities) you want to reference.
* Field Picker: Once a related list is chosen, Prompt Builder provides a field picker interface, allowing you to select specific fields from that related list. These fields then become available for merge fields or dynamic insertion within your prompt.
* Why Option A is Correct
* Direct Alignment with the Standard Process: The recommended approach in Salesforce's documentation is to select a related list and then use the field picker to add the necessary fields into your AI prompt. This ensures the prompt has exactly the data you need from that related list.
* Why Not Option B (JSON Formatting)
* No Mandatory JSON Requirement: Although you can structure data as JSON if you desire advanced formatting, Prompt Builder does not require you to manually assign the fields from the related list in JSON. The platform automatically handles how the data is passed along in the background.
* Why Not Option C (Default Page Layout)
* Independent of Page Layout: Prompt Builder does not rely strictly on the default page layout for fields. You can configure the fields you want from the related list, independent of how the user's page layout is set up in the UI.
* ConclusionSince the official Salesforce approach involves selecting a related list and then using the field picker to insert merge fields,Option Ais the correct and verified answer.
SalesforceAgentforce SpecialistReferences & Documents
* Salesforce Official Documentation:Prompt Builder BasicsExplains how to reference objects and related lists when building AI prompts.
* Salesforce Trailhead:Get Started with Prompt BuilderProvides hands-on exercises demonstrating how to pick fields from related objects or lists.
* SalesforceAgentforce SpecialistStudy GuideOutlines best practices for referencing related records and fields in generative AI prompts.
NEW QUESTION # 60
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