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