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Salesforce Certified Agentforce Specialist (AI-201) Exam Syllabus

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Before starting your Salesforce Certified Agentforce Specialist (AI-201) exam preparation, it is recommended to review the complete Salesforce Certified Agentforce Specialist exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free Salesforce Certified Agentforce Specialist (AI-201) questions. We also provide premium Salesforce Certified Agentforce Specialist (AI-201) practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Salesforce Certified Agentforce Specialist (AI-201) Exam Objectives

Section Weight Objectives
AI Agents 35%
  • Given a use case, manage deterministic behavior for the agent using filters and variables.
  • Explain how an agent works and how the reasoning engine powers Agentforce.
  • Given a scenario, select and configure standard topics, custom topics, standard agent actions, and custom agent actions based on agent types.
  • Explain how to manage Agentforce security, including the concept of the Agent User and how it applies to an Employee Agent, Service Agent, or Sales Agent.
  • Given a scenario, identify when to use an Employee agent, Service agent, or Sales agent.
  • Explain the process for connecting agents to various channels such as digital experience, email, and Slack.
Prompt Engineering 20%
  • Given business requirements, identify when it's appropriate to use Prompt Builder.
  • Identify the right user roles to manage and execute prompt templates.
  • Identify the considerations for creating a prompt template using field generation and flex types.
  • Given a scenario, identify the appropriate grounding technique.
  • Explain the process for creating, activating, and executing prompt templates.
  • Explain how to use best practices for writing effective prompts.
Data Cloud for Agentforce 20%
  • Explain the considerations of Agentforce Data Library and its types.
  • Given a scenario, improve an agent’s response with unstructured data using chunking and indexing.
  • Identify the considerations for retrievers in Data Cloud such as individual and ensemble.
  • Given a scenario, identify the considerations for search type such as keyword, vector, and hybrid.
Development Lifecycle 20%
  • Given a scenario, test an agent using Agentforce Testing Center.
  • Identify the considerations for deploying an agent from sandbox to production.
  • Explain the process for managing and monitoring agent adoption.
Multi-Agent Interoperability 5%
  • Explain the purpose of Model Context Protocol (MCP) and its use cases.
  • Explain the purpose of agent to agent protocol.
  • Given a scenario, identify when it's appropriate to use Agent API. 
Official Information https://trailhead.salesforce.com/help?article=Salesforce-Certified-Agentforce-Specialist-Exam-Guide

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