Free Practice Questions for Salesforce Certified Agentforce Specialist (AI-201) Certification

    🔄 Last checked for updates July 1st, 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)

    Official study guide

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    Question formats CertSafari offers
    • Multiple choice
    language:

    English, French, Japanese, and Spanish

    retake fee:

    USD 100, JPY 30,000

    exam version:

    Spring ’26 release

    passing score:

    72%

    prerequisites:

    None

    delivery method:

    Proctored exam delivered onsite at a testing center or in an online proctored environment

    registration fee:

    USD 200, JPY 30,000

    time limit minutes:

    105 minutes

    number of questions:

    60 multiple-choice questions

    Exam Topics & Skills Assessed

    Skills measured (from the official study guide)

    Domain 1: Prompt Engineering

    Subdomain 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.

    Subdomain 1.2: Identify access controls governing prompt templates.

    Identify access controls governing prompt templates.

    Subdomain 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.

    Subdomain 1.4: Given a scenario, identify the appropriate grounding technique.

    Given a scenario, identify the appropriate grounding technique.

    Subdomain 1.5: Explain the process for creating, activating, and executing prompt templates.

    Explain the process for creating, activating, and executing prompt templates.

    Subdomain 1.6: Explain how to implement best practices for writing effective prompts.

    Explain how to implement best practices for writing effective prompts.

    Subdomain 1.7: Identify the security and privacy features of the Trust Layer.

    Identify the security and privacy features of the Trust Layer.

    Subdomain 1.8: Explain how to manage and prevent specific models from being accessed.

    Explain how to manage and prevent specific models from being accessed.

    Domain 2: Data 360 Fundamentals

    Subdomain 2.1: Explain the considerations of Agentforce Data Library and its concepts.

    Explain the considerations of Agentforce Data Library and its concepts.

    Subdomain 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.

    Domain 3: AI Agents

    Subdomain 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.

    Subdomain 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.

    Subdomain 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.

    Subdomain 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.

    Subdomain 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.

    Subdomain 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.

    Subdomain 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.

    Subdomain 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.

    Domain 4: Testing, Deployment, & Maintenance

    Subdomain 4.1: Given a scenario, test an agent using Testing Center.

    Given a scenario, test an agent using Testing Center.

    Subdomain 4.2: Explain how Testing Center evaluations work.

    Explain how Testing Center evaluations work.

    Subdomain 4.3: Identify the considerations for deploying an agent from sandbox to production.

    Identify the considerations for deploying an agent from sandbox to production.

    Subdomain 4.4: Identify the considerations for deploying a template from sandbox to production.

    Identify the considerations for deploying a template from sandbox to production.

    Domain 5: Governance & Observability

    Subdomain 5.1: Explain the process for managing and monitoring agents.

    Explain the process for managing and monitoring agents.

    Subdomain 5.2: Explain agent analytics and agent optimization

    Explain agent analytics and agent optimization

    Domain 6: Multi-Agent Orchestration

    Subdomain 6.1: Given a scenario, determine whether a Single-Agent (SOMA) architecture is appropriate for scalability and control.

    Given a scenario, determine whether a Single-Agent (SOMA) architecture is appropriate for scalability and control.

    Subdomain 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.

    Techniques & products

    Prompt Builder
    prompt templates
    field generation
    flex types
    grounding techniques
    Trust Layer
    Agentforce Data Library
    Data 360
    chunking
    indexing
    retrievers
    AI agents
    agent script
    hybrid reasoning
    Canvas
    Script View
    filters
    variables
    template expressions
    standard topics
    custom topics
    standard Agent actions
    custom Agent actions
    digital experience
    email
    voice
    Slack
    Agent API
    Testing Center
    sandbox
    production
    agent analytics
    agent optimization
    Single-Agent (SOMA) architecture
    MCP
    A2A

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