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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.

Vendor
Salesforce Certified Agentforce Specialist (AI-201)
Exam Code
379
Total Questions
6
Total Exam Domains

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Agentforce-Specialist EXAM QUESTIONS

Salesforce Certified Agentforce Specialist (AI-201) Exam Objectives

Section 1: Prompt Engineering
Weight:
20%
  • Given business requirements, identify when it's appropriate to use Prompt Builder.
  • Identify access controls governing prompt templates.
  • Identify the considerations for using a prompt template type such as 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 implement best practices for writing effective prompts.
  • Identify the security and privacy features of the Trust Layer.
  • Explain how to manage and prevent specific models from being accessed.
Section 2: Data 360 Fundamentals
Weight:
20%
  • Explain the considerations of Agentforce Data Library and its concepts.
  • Explain foundational concepts of Data 360 such as chunking, indexing, and retrievers.
Section 3: AI Agents
Weight:
35%
  • Explain how an agent works and its basic building blocks of agent script.
  • Explain the components and benefits of hybrid reasoning, including how Agent Script functions in Canvas and Script View.
  • Given a use case, manage deterministic behavior for the agent using mechanisms like filters, variables, and template expressions.
  • Given a scenario, select and configure standard topics, custom topics, standard Agent actions, and custom Agent actions.
  • Explain the process for connecting agents to various channels such as digital experience, email, voice, and Slack.
  • Explain the security context in which the agent is actually running, and how it impacts agent action execution.
  • Given a scenario, identify when to use an Employee or Service agent.
  • Given a scenario, identify when it's appropriate to use Agent API.
Section 4: Testing, Deployment, and Maintenance
Weight:
10%
  • Given a scenario, test an agent using Testing Center.
  • Explain how Testing Center evaluations work.
  • Identify the considerations for deploying an agent from sandbox to production.
  • Identify the considerations for deploying a template from sandbox to production.
Section 5: Governance and Observability
Weight:
10%
  • Explain the process for managing and monitoring agents.
  • Explain agent analytics and agent optimization.
Section 6: Multi-Agent Orchestration
Weight:
5%
  • Given a scenario, determine whether a Multi Agent architecture is appropriate for scalability and control.
  • Explain the purpose of existing open standard multi-agent protocols such as MCP and A2A.
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