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Salesforce Agentforce-Specialist 考試大綱:

主題簡介
主題 1
  • Development Lifecycle: This area addresses testing agents in Testing Center, deploying from sandbox to production, and managing agent adoption and monitoring.
主題 2
  • Multi-Agent Interoperability: This domain explains Model Context Protocol (MCP), agent-to-agent communication, and when to use Agent API for system interactions.
主題 3
  • AI Agents: This domain covers configuring agent behavior, understanding the reasoning engine, selecting topics and actions for agent types, managing Agent User security, choosing appropriate agent types, and connecting agents to various channels.
主題 4
  • Prompt Engineering: This section focuses on using Prompt Builder, managing user roles, creating prompt templates with field generation and flex types, selecting grounding techniques, and applying best practices for effective prompts.
主題 5
  • Data Cloud for Agentforce: This domain covers Agentforce Data Library types, improving responses with unstructured data through chunking and indexing, understanding retrievers, and selecting keyword, vector, or hybrid search types.

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最新的 AI Specialist Agentforce-Specialist 免費考試真題 (Q35-Q40):

問題 #35
A Salesforce Administrator is exploring the capabilities of Agent to enhance user interaction within their organization. They are particularly interested in how Agent processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Agent 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 Agent handle user requests In Salesforce?

答案:A

解題說明:
Agent 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, Agent 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.
Option C accurately describes this process. Agent 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:
* Salesforce Agentforce Specialist Documentation - Agent Overview: Details how Agent employs LLMs to interpret user inputs and generate responses within the Salesforce ecosystem.
* Salesforce Help - How Agent Works: Explains the underlying mechanisms of how Agent processes user requests using AI technologies.


問題 #36
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?

答案:B

解題說明:
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.


問題 #37
Universal Containers recently launched a pilot program to integrate conversational AI into its CRM business operations with Agentforce Agents. How should the Agentforce Specialist monitor Agents' usability and the assignment of actions?

答案:A

解題說明:
Monitoring the usability and action assignments of Agentforce Agents requires insights into how agents perform, how users interact with them, and how actions are executed within conversations. Salesforce provides Agent Analytics (Option C) as a built-in capability specifically designed for this purpose. Agent Analytics offers dashboards and reports that track metrics such as agent response times, user satisfaction, action invocation frequency, and success rates. This tool allows the Agentforce Specialist to assess usability (e.g., are agents meeting user needs?) and monitor action assignments (e.g., which actions are triggered and how often), providing actionable data to optimize the pilot program.
* Option A: Platform Debug Logs are low-level logs for troubleshooting Apex, Flows, or system processes. They don't provide high-level insights into agent usability or action assignments, making this unsuitable.
* Option B: The Metadata API is used for retrieving or deploying metadata (e.g., object definitions), not runtime log data about agent performance. While Agent log data might exist, querying it via Metadata API is not a standard or documented approach for this use case.
* Option C: Agent Analytics is the dedicated solution, offering a user-friendly way to monitor conversational AI performance without requiring custom development.
Option C is the correct choice for effectively monitoring Agentforce Agents in a pilot program.
:
Salesforce Agentforce Documentation: "Agent Analytics Overview" (Salesforce Help: https://help.salesforce.
com/s/articleView?id=sf.agentforce_analytics.htm&type=5)
Trailhead: "Agentforce for Admins" (https://trailhead.salesforce.com/content/learn/modules/agentforce-for- admins)


問題 #38
Cloud Kicks wants its Agentforce Service Agent to retrieve up-to-date factual data from the internet.
Which step must an Agentforce Specialist take to ensure the agent uses the web search capability properly?

答案:A

解題說明:
The correct answer is C. Salesforce's Agentforce web search guidance states that web search is configured through a web search data library and a General Web Search subagent. It also notes that the General FAQ subagent must be removed because only one subagent can use the Answer Questions with Knowledge action for this purpose. Option A is incomplete and misleading because simply enabling Answer Questions with Knowledge on General FAQ is the standard knowledge or file-search pattern, not the proper web search pattern. Option B is also incorrect because the specialist does not manually map a web search retriever to a custom search index as the required setup step. Web search requires the correct web data library and General Web Search subagent configuration.


問題 #39
Universal Containers' Agent Action includes several Apex classes for the new Agentforce Agent. What is an important consideration when deploying Apex that is invoked by an Agent Action?

答案:B

解題說明:
Comprehensive and Detailed In-Depth Explanation:Universal Containers (UC) is using Apex classes within an Agent Action for their Agentforce Agent. Deploying Apex in Salesforce has specific requirements, especially when tied to Agentforce functionality. Let's evaluate the options.
* Option A: The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.Salesforce enforces a strict requirement that all Apex classes must achieve at least 75% code coverage from unit tests for deployment to production, regardless of their use case (e.g., Agentforce, triggers, or web services). Additionally, when Apex is invoked by an Agent Action (e.g., via a Flow or direct invocation), all dependencies (e.g., referenced classes, objects) must be included in the deployment package to ensure functionality. This is a standard deployment consideration in Salesforce and applies to Agentforce, making this the correct answer.
* Option B: Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.Salesforce's 75% code coverage requirement is mandatory for production deployment, regardless of whether the agent is activated.
There's no exemption based on activationstatus-coverage is enforced at the deployment stage. This option is incorrect and contradicts Salesforce's Apex deployment rules.
* Option C: The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.No such bypass exists in Salesforce. The 75% code coverage rule applies universally to all Apex in production, including classes used by Agentforce. Agent-specific usage doesn' t waive this requirement, making this incorrect.
Why Option A is Correct:The 75% code coverage requirement and inclusion of dependencies are fundamental Salesforce deployment rules, applicable to Apex in Agent Actions. This ensures reliability and functionality in production, as per official documentation.
References:
* Salesforce Agentforce Documentation: Agent Builder > Custom Actions > Apex- Notes standard Apex deployment rules apply.
* Salesforce Developer Guide: Apex Testing- Confirms 75% coverage requirement.
* Trailhead: Deploy Apex Code- Emphasizes coverage and dependencies for production.


問題 #40
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