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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data and AI Governance | 20% | - Data grounding
|
| Topic 2: AI Agents | 35% | - Security and governance
|
| Topic 3: Testing, Deployment, and Operations | 20% | - Lifecycle management
|
| Topic 4: Prompt Engineering | 25% | - Grounding and best practices
|
>> Agentforce-Specialist題庫分享 <<
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問題 #50
Universal Containers wants to use an external large language model (LLM) in Prompt Builder.
What should An Agentforce recommend?
答案：B
解題說明：
Bring Your Own Large Language Model (BYO-LLM) functionality in Einstein Studio allows organizations to integrate and use external large language models (LLMs) within the Salesforce ecosystem.
Universal Containers can leverage this feature to connect and ground prompts with external LLMs, allowing for custom AI model use cases and seamless integration with Salesforce data.
* Option B is the correct choice as Einstein Studio provides a built-in feature to work with external models.
* Option A suggests using Apex, but BYO-LLM functionality offers a more streamlined solution.
* Option C focuses on Flow and External Services, which is more about data integration and isn't ideal for working with LLMs.
:
Salesforce Einstein Studio BYO-LLM Documentation: https://help.salesforce.com/s/articleView?id=sf.
einstein_studio_llm.htm
問題 #51
An Agentforce Specialist is creating a prompt template to assist support reps in drafting responses to customer complaints.
To ensure the responses are empathetic and helpful, what is a key element to include in the prompt template?
答案：B
解題說明：
The Prompt Builder Best Practices Guide emphasizes including a role instruction in prompts to set tone and communication style. The document explains: "Role-playing instructions (e.g., 'You are an empathetic customer support agent') are a best practice for ensuring the LLM adopts the desired persona, tone, and style in responses." Option A directly reflects this principle by instructing the LLM to role-play as a character, resulting in empathetic, customer-centric responses.
Option B (listing keywords) provides no tone or intent guidance.
Option C (including full interaction history) risks token overload and redundancy, which can degrade prompt performance.
Thus, Option A aligns with Salesforce's prompt design best practices for tone and empathy.
References (AgentForce Documents / Study Guide):
* Salesforce Prompt Builder Design Guide: "Using Role Instructions for Empathy and Tone"
* AgentForce Prompt Engineering Handbook: "Persona and Context in Prompts"
* AgentForce Study Guide: "Creating Effective Prompts for Customer-Facing Use Cases"
問題 #52
Universal Containers plans to enhance its sales team's productivity using AI. Which specific requirement necessitates the use of Prompt Builder?
答案：A
解題說明：
Comprehensive and Detailed In-Depth Explanation:
UC seeks an AI solution for sales productivity. Let's determine which requirement aligns with Prompt Builder.
* Option A: Creating a draft newsletter for an upcoming tradeshow.Prompt Builder excels at generating text outputs (e.g., newsletters) using Generative AI. UC can create a prompt template to draft personalized, context-rich newsletters based on sales data, boosting productivity. This matches Prompt Builder's capabilities, making it the correct answer.
* Option B: Predicting the likelihood of customers churning or discontinuing their relationship with the company.Churn prediction is a predictive AI task, suited for Einstein Prediction Builder or Data Cloud models, not Prompt Builder, which focuses on generative tasks. This is incorrect.
* Option C: Creating an estimated Customer Lifetime Value (CLV) with historical purchase data.
CLV estimation involves predictive analytics, not text generation, and is better handled by Einstein Analytics or custom models, not Prompt Builder. This is incorrect.
Why Option A is Correct:
Drafting newsletters is a generative task uniquely suited to Prompt Builder, enhancing sales productivity as per Salesforce documentation.
References:
Salesforce Agentforce Documentation: Prompt Builder > Use Cases- Lists text generation like newsletters.
Trailhead: Build Prompt Templates in Agentforce- Covers productivity-enhancing text outputs.
Salesforce Help: Generative AI with Prompt Builder- Confirms drafting capabilities.
問題 #53
A data scientist needs to view and manage models in Einstein Studio, and also needs to create prompt templates in Prompt Builder. Which permission sets should an Agentforce Specialist assign to the data scientist?
答案：A
解題說明：
The data scientist requires permissions for Einstein Studio (model management) and Prompt Builder (template creation). Note: "Einstein Studio" may be a misnomer for Data Cloud's model management or a related tool, but we'll interpret based on context. Let's evaluate.
Option A: Prompt Template Manager and Prompt Template UserThere's no distinct "Prompt Template Manager" or "Prompt Template User" permission set in Salesforce-Prompt Builder access is typically via
"Einstein Generative AI User" or similar. This option lacks coverage for Einstein Studio/Data Cloud, making it incorrect.
Option B: Data Cloud Admin and Prompt Template ManagerThe "Data Cloud Admin" permission set grants access to manage models in Data Cloud (assumed as Einstein Studio's context), including viewing and editing AI models. "Prompt Template Manager" isn't a real set, but Prompt Builder creation is covered by "Einstein Generative AI Admin" or similar admin-level access (assumed intent). This combination approximates the needs, making it the closest correct answer despite naming ambiguity.
Option C: Prompt Template User and Data Cloud Admin"Prompt Template User" isn't a standard set, and user-level access (e.g., Einstein Generative AI User) typically allows execution, not creation. The data scientist needs to create templates, so this lacks sufficient Prompt Builder rights, making it incorrect.
Why Option B is Correct (with Caveat):
"Data Cloud Admin" covers model management in Data Cloud (likely intended as Einstein Studio), and
"Prompt Template Manager" is interpreted as admin-level Prompt Builder access (e.g., Einstein Generative AI Admin). Despite naming inconsistencies, this fits the requirements per Salesforce permissions structure.
References:
Salesforce Data Cloud Documentation: Permissions - Details Data Cloud Admin for models.
Trailhead: Set Up Einstein Generative AI - Covers Prompt Builder admin access.
Salesforce Help: Agentforce Permission Sets - Aligns with admin-level needs.
問題 #54
Universal Containers recently added a custom flow for processing returns and created a new Agent Action.
Which action should the company take to ensure the Agentforce Service Agent can run this new flow as part of the new Agent Action?
答案：B
解題說明：
UC has created a custom flow for processing returns and linked it to a new Agent Action for the Agentforce Service Agent, an AI-driven agent for customer service tasks. The agent must have the ability to execute this flow. Let's assess the options.
Option A: Recreate the flow using the Agentforce agent user.Flows are authored by admins or developers, not
"recreated" by specific users like the Agentforce agent user (a system user for agent operations). The issue isn' t the flow's creation context but its execution permissions. This option is impractical and incorrect.
Option B: Assign the Manage Users permission to the Agentforce Agent user.The "Manage Users" permission allows user management (e.g., creating or editing users), which is unrelated to running flows. This permission is excessive and irrelevant for the Service Agent's needs, making it incorrect.
Option C: Assign the Run Flows permission to the Agentforce Agent user.The Agentforce Service Agent operates under a dedicated system user (e.g., "Agentforce Agent User") with a specific profile or permission set. To execute a flow as part of an Agent Action, this user must have the "Run Flows" permission, either via its profile or a permission set (e.g., Agentforce Service Permissions). This ensures the agent can invoke the custom flow for processing returns, aligning with Salesforce's security model and Agentforce setup requirements. This is the correct answer.
Why Option C is Correct:
Granting the "Run Flows" permission to the Agentforce Agent user is the standard, documented step to enable flow execution in Agent Actions, ensuring the Service Agent can process returns as intended.
References:
Salesforce Agentforce Documentation: Agent Builder > Custom Actions - Requires "Run Flows" for flow- based actions.
Trailhead: Set Up Agentforce Service Agents - Lists "Run Flows" in agent user permissions.
Salesforce Help: Agentforce Security > Permissions - Confirms flow execution needs.
問題 #55
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