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Resource Pack

Agentforce Specialist

The Salesforce Certified Agentforce Specialist credential validates your ability to configure, deploy, and manage AI agents on the Salesforce platform. It covers the Agent Builder, Prompt Builder, Data Cloud grounding, and the development lifecycle. If you work with Employee, Service, or Sales agents and want to prove you know the platform inside and out, this cert is for you. Platform Administrator or Platform App Builder experience helps but is not required.

3-Step Path to Passing

  1. 1

    Complete the Agentforce Specialist Cert Prep

    Start with the official cert prep module. It mirrors the exam blueprint with units for AI Agents, Prompt Engineering, Data Cloud, Development Lifecycle, and Multi-Agent Interoperability. Earn Agentblazer status on Trailhead to deepen your hands-on experience before the exam.
  2. 2

    Attempt Practice Exams

    I 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.
  3. 3

    Schedule Your Exam

    Exams 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

65%

Minimum Score

Question Format

The exam tests practical configuration and implementation of Agentforce, including topics, actions, security, prompt templates, Data Cloud grounding, testing, and deployment.

Scored

92%

60questions

Unscored

8%

5questions

Exam Details

Pricing

$200 registration · $100 retake

Delivery

Online proctored or at a testing center

Experience

6+ months recommended

Prerequisites

No prerequisites required

Exam Topics

Each topic section shows the topic weight, learning objectives, and links to study resources.

AI Agents35%

Topics and actions (standard vs custom), filters and variables, reasoning engine, Agent User security model, Employee vs Service vs Sales agents, and channel deployment (digital experience, email, Slack).

  • Given a use case, manage deterministic behavior for the agent using filters and variables.
  • Explain how an agent works and how the reasoning engine powers Agentforce.
  • Given a scenario, select and configure standard topics, custom topics, standard agent actions, and custom agent actions based on agent types.
  • Explain 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.
  • Given a scenario, identify when to use an Employee agent, Service agent, or Sales agent.
  • Explain the process for connecting agents to various channels such as digital experience, email, and Slack.

Resources

Prompt Engineering20%

Prompt Builder, prompt template types (Field Generation, Flex, Sales Email, Record Summary), grounding techniques, activation and execution, and prompt best practices.

  • Given business requirements, identify when it's appropriate to use Prompt Builder.
  • Identify the right user roles to manage and execute prompt templates.
  • Identify the considerations for creating a prompt template using 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 use best practices for writing effective prompts.

Resources

Data Cloud for Agentforce20%

Agentforce Data Library types, chunking and indexing unstructured data, retrievers (individual vs ensemble), and search types (keyword, vector, hybrid).

  • Explain the considerations of Agentforce Data Library and its types.
  • 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

Development Lifecycle20%

Agentforce Testing Center, testing criteria and results, deployment from sandbox to production, and agent adoption monitoring.

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

Resources

Multi-Agent Interoperability5%

Model Context Protocol (MCP), agent-to-agent protocol, and when to use Agent API.

  • 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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