Agentforce Specialist
The Salesforce Certified Agentforce Specialist credential validates your ability to design and implement AI agents and prompt templates on the Salesforce platform. It covers next-generation authoring with Agent Script, Prompt Builder, Data 360 grounding, testing and deployment, and governance. If you configure Employee or Service agents and want to prove you know the platform, this cert is for you.
4-Step Path to Passing
- 1EarnSalesforce recommends Agentblazer Status as your primary prep path. Work through the hands-on challenges to build real Agentforce and Prompt Builder experience before you sit for the exam.
- 2Look at theEvery concept you need to know for your exam, available for free to check off as you learn.
- 3AttemptI recommend my own practice exams, but I have linked other options in the Study Resources section below. These are the best indicators for how you should expect to do on the real exam.
- 4Exams run every day. There is no need to schedule your exam in advance. Schedule when you are ready.
Core Resources
Exam Overview
Questions
65
60 scored + 5 unscored
Duration
105 min
1 hour 45 minutes
To Pass
72%
Minimum Score
Question Format
Scored
92%60questions
Unscored
8%5questions
Exam Details
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%
Prompt Builder, template types (Field Generation, Flex), access controls, grounding techniques, activation and execution, prompt best practices, Trust Layer security, and model access management.
- Given business requirements, identify when it's appropriate to use Prompt Builder.
- Identify access controls governing prompt templates.
- Identify the considerations for using a prompt template type such as field generation and flex types.
- Given a scenario, identify the appropriate grounding technique.
- Explain the process for creating, activating, and executing prompt templates.
- Explain how to implement best practices for writing effective prompts.
- Identify the security and privacy features of the Trust Layer.
- Explain how to manage and prevent specific models from being accessed.
Resources
Data 360 Fundamentals20%
Agentforce Data Library concepts, chunking and indexing unstructured data, and retrievers for grounding agents and prompt templates.
- Explain the considerations of Agentforce Data Library and its concepts.
- Explain foundational concepts of Data 360 such as chunking, indexing, and retrievers.
Resources
AI Agents35%
Agent Script and hybrid reasoning, topics and actions, filters and variables, channel deployment (digital experience, email, voice, Slack), security context, Employee vs Service agents, and Agent API.
- 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.
- Given a use case, manage deterministic behavior for the agent using mechanisms like filters, variables, and template expressions.
- Given a scenario, select and configure standard topics, custom topics, standard Agent actions, and custom Agent actions.
- Explain the process for connecting agents to various channels such as digital experience, email, voice, and Slack.
- Explain the security context in which the agent is actually running, and how it impacts agent action execution.
- Given a scenario, identify when to use an Employee or Service agent.
- Given a scenario, identify when it's appropriate to use Agent API.
Resources
Testing, Deployment, & Maintenance10%
Agentforce Testing Center and evaluations, deploying agents from sandbox to production, and deploying prompt templates across environments.
- Given a scenario, test an agent using Testing Center.
- Explain how Testing Center evaluations work.
- Identify the considerations for deploying an agent from sandbox to production.
- Identify the considerations for deploying a template from sandbox to production.
Resources
Governance & Observability10%
Agent lifecycle management, conversation monitoring, Agentforce Analytics dashboards, and agent optimization.
- Explain the process for managing and monitoring agents.
- Explain agent analytics and agent optimization.
Resources
Multi-Agent Orchestration5%
Single-Agent (SOMA) architecture for scalability and control, and open standard multi-agent protocols including MCP and A2A.
- 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.
Resources
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