Community Curated Resources for Agentforce Specialist
4-Step Path to Passing
- 1Complete the Agentforce Specialist TrailmixStart by learning the content Salesforce provides in the guided trailmix. Recommended modules change occasionally, so keep an eye on your completion percentage over time.
- 2Look at theEvery concept you need to know for your exam, available for free to check off as you learn.
- 3AttemptPractice exams are the best indicator of how you should expect to do on the real exam. Other practice options are linked in the Study Resources section below.
- 4Schedule Your ExamExams run every day, at all hours. There is no need to schedule far in advance. Book with short notice when you are ready.
Core Resources
Exam Overview
From the official exam guide
Questions
65
60 scored5 unscored
Duration
120 min
2h
To Pass
73%
Min. score
Pricing
$200 registration · $100 retake
Delivery
Online proctored or at a testing center
Experience
1 year recommended
Prerequisites
No prerequisites required
Exam Topics
Each topic section shows the topic weight, learning objectives, and links to study resources.
Prompt Engineering20%
- Identify access controls governing prompt templates
- Identify the security and privacy features of the Trust Layer
- Explain how to manage and prevent specific models from being accessed
- Given business requirements, identify when it's appropriate to use Prompt Builder.
- Identify the right user roles to manage and execute prompt templates.
- Given a scenario, identify the appropriate grounding technique.
- Explain the process for creating, activating, and executing prompt templates.
- Identify the considerations for using a prompt template type such as field generation and flex types.
- Explain how to implement best practices for writing effective prompts.
Resources
Data 360 Fundamentals20%
- Explain foundational concepts of Data 360 such as chunking, indexing, and retrievers
- Explain the considerations of Agentforce Data Library and its concepts.
- Given a scenario, improve an agent’s response with unstructured data using chunking and indexing.
- Identify the considerations for retrievers in Data Cloud such as individual and ensemble.
- Given a scenario, identify the considerations for search type such as keyword, vector, and hybrid.
Resources
AI Agents35%
- Explain how an agent works and its basic building blocks of agent script
- Explain the components and benefits of hybrid reasoning, including how Agent Script functions in Canvas and Script View
- Explain the security context in which the agent is actually running, and how it impacts agent action execution
- Given a scenario, identify when it's appropriate to use Agent API
- Given a use case, manage deterministic behavior for the agent using mechanisms like filters, variables, and template expressions.
- Explain the process for connecting agents to various channels such as digital experience, email, voice, and Slack.
- Explain how an agent works and how the reasoning engine powers Agentforce.
- Given a scenario, identify when to use an Employee or Service agent.
- Given a scenario, select and configure standard topics, custom topics, standard agent actions, and custom agent actions.
- Explain how to manage Agentforce security, including the concept of the Agent User and how it applies to an Employee or Service Agent..
Resources
Testing, Deployment, & Maintenance10%
- Given a scenario, test an agent using Testing Center
- Explain how Testing Center evaluations work
- Identify the considerations for deploying a template from sandbox to production
- Identify the considerations for deploying an agent from sandbox to production.
- Explain the process for managing and monitoring agent adoption.
Resources
Governance & Observability10%
- Explain the process for managing and monitoring agents
- Explain agent analytics and agent optimization
Resources
Multi-Agent Orchestration5%
- Given a scenario, determine whether a Single-Agent (SOMA) architecture is appropriate for scalability and control
- Explain the purpose of existing open standard multi-agent protocols such as MCP and A2A
- Explain the purpose of Model Context Protocol (MCP) and its use cases.
- Explain the purpose of agent to agent protocol.
- Given a scenario, identify when it's appropriate to use Agent API.
Resources
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