Salesforce Certified Agentforce Specialist Practice Exam
Salesforce Certified Agentforce Specialist Practice Exam
About the Salesforce Certified Agentforce Specialist Exam
The Salesforce Certified Agentforce Specialist Exam validates your ability to design, configure, and manage intelligent AI agents within Salesforce’s Agentforce platform. This certification demonstrates your expertise in building, customizing, and deploying AI agents that enhance customer interactions, streamline workflows, and drive business efficiency.
Skills Validated
- Measures your understanding of how to leverage Agentforce to deliver personalized, context-aware experiences across business functions.
- Evaluated on designing and configuring AI agents, applying prompt engineering best practices, integrating structured and unstructured data, managing deployment lifecycles, and enabling interoperability across agents.
Who should take this Exam?
This certification is ideal for:
- Salesforce professionals managing AI-driven automation and customer engagement.
- Business analysts, administrators, or consultants exploring Agentforce capabilities.
- Developers and solution architects integrating AI agents into existing Salesforce systems.
- Teams adopting Agentforce to transform customer support, sales, or service processes.
Skills Required
- Configuring and managing AI agents with standard and custom actions.
- Applying prompt engineering principles using Prompt Builder.
- Enhancing agent performance through grounding and data retrieval techniques.
- Managing agent testing, deployment, and adoption.
- Ensuring agent security, interoperability, and compliance.
Knowledge Gained
- Deep understanding of Agentforce AI agent architecture and reasoning engine.
- Best practices for prompt creation, grounding, and personalization.
- Integration of structured and unstructured data using Data Cloud retrievers.
- Managing the agent lifecycle from sandbox testing to production deployment.
- Enabling collaboration through agent-to-agent communication and APIs.
Exam Details
- Exam Format: 60 multiple-choice questions (+ up to 5 unscored)
- Exam Duration: 105 minutes
- Passing Score: 73%
- Exam Delivery: Online or onsite proctored exam
- Exam Prerequisite: None
Salesforce Certified Agentforce Specialist Course Outline
The exam covers the following topics -
Domain 1 - Understand AI Agents (35%)
Learn how to design, configure, and manage AI agents that deliver context-aware, personalized, and efficient customer experiences on Salesforce Agentforce.
- Understanding Agentforce Architecture: Explore how the reasoning engine works and how agents process queries.
- Agent Configuration: Create and customize AI agents using standard and custom topics, actions, and filters.
- Deterministic Behavior Management: Control agent responses using filters, variables, and logic to ensure consistent outputs.
- Agent Types and Use Cases: Identify when to use Employee Agents, Service Agents, or Sales Agents.
- Security Management: Learn the concept of the Agent User and how access and permissions are managed across different agent types.
- Channel Integration: Connect AI agents with Salesforce channels such as Digital Experience, Email, and Slack for seamless interaction.
- Governance and Maintenance: Monitor agent performance, troubleshoot issues, and ensure secure and compliant operation.
Domain 2 - Understand Prompt Engineering (20%)
- Master the art of crafting prompts that drive accurate, efficient, and grounded AI responses aligned with business goals.
- Introduction to Prompt Builder: Learn when and how to use Prompt Builder for effective AI interactions.
- Prompt Template Management: Create, store, and manage prompt templates that meet organizational needs.
- Field Generation and Flex Types: Use Salesforce data to dynamically populate prompts.
- Grounding Techniques: Understand and apply techniques like retrieval-augmented grounding for more factual responses.
- Writing Effective Prompts: Follow best practices to reduce ambiguity and improve AI accuracy.
- User Roles and Permissions: Identify appropriate roles for managing and executing prompt templates.
Domain 3 - Understand Data Cloud for Agentforce (20%)
- Explore how Salesforce Data Cloud enhances AI agent capabilities with structured and unstructured data for more relevant, contextual outputs.
- Agentforce Data Library: Learn the types and functions of data libraries within Agentforce.
- Unstructured Data Processing: Use chunking and indexing techniques to handle documents, knowledge articles, and notes.
- Retriever Models: Understand individual vs. ensemble retrievers for diverse data sources.
- Search Types: Compare keyword, vector, and hybrid search for better data retrieval.
- Grounding with Data Cloud: Improve accuracy and personalization of agent responses by grounding with real-time organizational data.
Domain 4 - Understand Development Lifecycle (20%)
- Get hands-on experience managing the end-to-end lifecycle of AI agents — from testing to deployment and performance tracking.
- Agent Testing: Use the Agentforce Testing Center to simulate and evaluate agent behavior.
- Sandbox Deployment: Learn safe deployment practices from sandbox to production environments.
- Monitoring and Adoption: Set up metrics and dashboards to measure adoption, effectiveness, and user satisfaction.
- Change Management: Apply version control and update strategies for continuous agent improvement.
- Security and Governance: Ensure compliance with organizational policies during the agent lifecycle.
Domain 5. Understand Multi-Agent Interoperability (5%)
- Understand how multiple agents communicate and collaborate to create unified, intelligent ecosystems across Salesforce environments.
- Model Context Protocol (MCP): Explore MCP concepts and its role in coordinating data and context across models.
- Agent-to-Agent Communication: Learn when and how agents interact to share insights and perform complex tasks collaboratively.
- Agent API: Understand the use cases for the Agent API in extending functionality and integrating with external systems.
- Scalability and Collaboration: Manage multiple agents in large enterprise settings to ensure consistent, secure, and efficient operation.
