Free Practice Questions for Salesforce Certified Agentforce Specialist (AI-201) Certification
- Guide checked for updates:
- 18 Sep 2026
- Question bank created:
- 1 Jul 2026
- Question bank last updated:
- 6 Oct 2026
Study with 335 exam-style practice questions designed to help you prepare for the Salesforce Certified Agentforce Specialist (AI-201).
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Exam Details
Key information about Salesforce Certified Agentforce Specialist (AI-201)
- Multiple choice
English, French, Japanese, and Spanish
USD 100, JPY 30,000
Spring ’26 release
72%
None
Proctored exam delivered onsite at a testing center or in an online proctored environment
USD 200, JPY 30,000
105 minutes
60 multiple-choice questions
Exam Topics & Skills Assessed
Skills measured (from the official study guide)
1: Prompt Engineering
1.1: Given business requirements, identify when it's appropriate to use Prompt Builder.
Given business requirements, identify when it's appropriate to use Prompt Builder.
1.2: Identify access controls governing prompt templates.
Identify access controls governing prompt templates.
1.3: Identify the considerations for using a prompt template type such as field generation and flex types.
Identify the considerations for using a prompt template type such as field generation and flex types.
1.4: Given a scenario, identify the appropriate grounding technique.
Given a scenario, identify the appropriate grounding technique.
1.5: Explain the process for creating, activating, and executing prompt templates.
Explain the process for creating, activating, and executing prompt templates.
1.6: Explain how to implement best practices for writing effective prompts.
Explain how to implement best practices for writing effective prompts.
1.7: Identify the security and privacy features of the Trust Layer.
Identify the security and privacy features of the Trust Layer.
1.8: Explain how to manage and prevent specific models from being accessed.
Explain how to manage and prevent specific models from being accessed.
2: Data 360 Fundamentals
2.1: Explain the considerations of Agentforce Data Library and its concepts.
Explain the considerations of Agentforce Data Library and its concepts.
2.2: Explain foundational concepts of Data 360 such as chunking, indexing, and retrievers.
Explain foundational concepts of Data 360 such as chunking, indexing, and retrievers.
3: AI Agents
3.1: Explain how an agent works and its basic building blocks of agent script.
Explain how an agent works and its basic building blocks of agent script.
3.2: Explain the components and benefits of hybrid reasoning, including how Agent Script functions in Canvas and Script View.
Explain the components and benefits of hybrid reasoning, including how Agent Script functions in Canvas and Script View.
3.3: Given a use case, manage deterministic behavior for the agent using mechanisms like filters, variables, and template expressions.
Given a use case, manage deterministic behavior for the agent using mechanisms like filters, variables, and template expressions.
3.4: Given a scenario, select and configure standard topics, custom topics, standard Agent actions, and custom Agent actions.
Given a scenario, select and configure standard topics, custom topics, standard Agent actions, and custom Agent actions.
3.5: Explain the process for connecting agents to various channels such as digital experience, email, voice, and Slack.
Explain the process for connecting agents to various channels such as digital experience, email, voice, and Slack.
3.6: Explain the security context in which the agent is actually running, and how it impacts agent action execution.
Explain the security context in which the agent is actually running, and how it impacts agent action execution.
3.7: Given a scenario, identify when to use an Employee or Service agent.
Given a scenario, identify when to use an Employee or Service agent.
3.8: Given a scenario, identify when it's appropriate to use Agent API.
Given a scenario, identify when it's appropriate to use Agent API.
4: Testing, Deployment, and Maintenance
4.1: Given a scenario, test an agent using Testing Center.
Given a scenario, test an agent using Testing Center.
4.2: Explain how Testing Center evaluations work.
Explain how Testing Center evaluations work.
4.3: Identify the considerations for deploying an agent from sandbox to production.
Identify the considerations for deploying an agent from sandbox to production.
4.4: Identify the considerations for deploying a template from sandbox to production.
Identify the considerations for deploying a template from sandbox to production.
5: Governance and Observability
5.1: Explain the process for managing and monitoring agents.
Explain the process for managing and monitoring agents.
5.2: Explain agent analytics and agent optimization.
Explain agent analytics and agent optimization.
6: Multi-Agent Orchestration
6.1: Given a scenario, determine whether a Multi Agent architecture is appropriate for scalability and control.
Given a scenario, determine whether a Multi Agent architecture is appropriate for scalability and control.
6.2: Explain the purpose of existing open standard multi-agent protocols such as MCP and A2A.
Explain the purpose of existing open standard multi-agent protocols such as MCP and A2A.
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