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

    🔄 Last checked for updates July 1st, 2026

    Study with 343 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)

    Prompt Engineering(20%)

    Given business requirements, identify when it's appropriate to use Prompt Builder.

    • Prompt Builder

    Identify access controls governing prompt templates.

    • access controls
    • prompt templates

    Identify the considerations for using a prompt template type such as field generation and flex types.

    • prompt template types
    • field generation
    • flex types

    Given a scenario, identify the appropriate grounding technique.

    • grounding techniques

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

    • creating prompt templates
    • activating prompt templates
    • executing prompt templates

    Explain how to implement best practices for writing effective prompts.

    • effective prompts
    • best practices

    Identify the security and privacy features of the Trust Layer.

    • Trust Layer
    • security features
    • privacy features

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

    • model management
    • preventing model access

    Data 360 Fundamentals(20%)

    Explain the considerations of Agentforce Data Library and its concepts.

    • Agentforce Data Library
    • data library concepts

    Explain foundational concepts of Data 360 such as chunking, indexing, and retrievers.

    • Data 360
    • chunking
    • indexing
    • retrievers

    AI Agents(35%)

    Explain how an agent works and its basic building blocks of agent script.

    • agent script
    • agent building blocks

    Explain the components and benefits of hybrid reasoning, including how Agent Script functions in Canvas and Script View.

    • hybrid reasoning
    • Agent Script in Canvas
    • Agent Script in Script View

    Given a use case, manage deterministic behavior for the agent using mechanisms like filters, variables, and template expressions.

    • deterministic behavior
    • filters
    • variables
    • template expressions

    Given a scenario, select and configure standard topics, custom topics, standard Agent actions, and custom Agent actions.

    • standard topics
    • custom topics
    • standard Agent actions
    • custom Agent actions

    Explain the process for connecting agents to various channels such as digital experience, email, voice, and Slack.

    • connecting agents
    • digital experience
    • email
    • voice
    • Slack

    Explain the security context in which the agent is actually running, and how it impacts agent action execution.

    • agent security context
    • agent action execution

    Given a scenario, identify when to use an Employee or Service agent.

    • Employee agent
    • Service agent

    Given a scenario, identify when it's appropriate to use Agent API.

    • Agent API

    Testing, Deployment, & Maintenance(10%)

    Given a scenario, test an agent using Testing Center.

    • Testing Center
    • testing agents

    Explain how Testing Center evaluations work.

    • Testing Center evaluations

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

    • deploying agents
    • sandbox to production

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

    • deploying templates
    • sandbox to production

    Governance & Observability(10%)

    Explain the process for managing and monitoring agents.

    • managing agents
    • monitoring agents

    Explain agent analytics and agent optimization

    • agent analytics
    • agent optimization

    Multi-Agent Orchestration(5%)

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

    • Single-Agent (SOMA) architecture
    • scalability
    • control

    Explain the purpose of existing open standard multi-agent protocols such as MCP and A2A.

    • open standard multi-agent protocols
    • MCP
    • 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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