Salesforce Certified Agentforce Specialist (AI-201) Exam Questions

Salesforce Certified Agentforce Specialist Exam Objectives

1. 1

   1.0 AI Agents (35%)

   • 1.1Given a use case, manage deterministic behavior for the agent using filters and variables.
   • 1.2Explain how an agent works and how the reasoning engine powers Agentforce.
   • 1.3Given a scenario, select and configure standard topics, custom topics, standard agent actions, and custom agent actions based on agent types.
   • 1.4Explain how to manage Agentforce security, including the concept of the Agent User and how it applies to an Employee Agent, Service Agent, or Sales Agent.
   • 1.5Given a scenario, identify when to use an Employee agent, Service agent, or Sales agent.
   • 1.6Explain the process for connecting agents to various channels such as digital experience, email, and Slack.
2. 2

   2.0 Prompt Engineering (20%)

   • 2.1Given business requirements, identify when it's appropriate to use Prompt Builder.
   • 2.2Identify the right user roles to manage and execute prompt templates.
   • 2.3Identify the considerations for creating a prompt template using field generation and flex types.
   • 2.4Given a scenario, identify the appropriate grounding technique.
   • 2.5Explain the process for creating, activating, and executing prompt templates.
   • 2.6Explain how to use best practices for writing effective prompts.
3. 3

   3.0 Data Cloud for Agentforce (20%)

   • 3.1Explain the considerations of Agentforce Data Library and its types.
   • 3.2Given a scenario, improve an agent’s response with unstructured data using chunking and indexing.
   • 3.3Identify the considerations for retrievers in Data Cloud such as individual and ensemble.
   • 3.4Given a scenario, identify the considerations for search type such as keyword, vector, and hybrid.
4. 4

   4.0 Development Lifecycle (20%)

   • 4.1Given a scenario, test an agent using Agentforce Testing Center.
   • 4.2Identify the considerations for deploying an agent from sandbox to production.
   • 4.3Explain the process for managing and monitoring agent adoption.
5. 5

   5.0 Multi-Agent Interoperability (5%)

   • 5.1Explain the purpose of Model Context Protocol (MCP) and its use cases.
   • 5.2Explain the purpose of agent to agent protocol.
   • 5.3Given a scenario, identify when it's appropriate to use Agent API.