SALESFORCESalesforce Certified Agentforce Specialist
The Salesforce Certified Agentforce Specialist certification validates your ability to manage and optimize Agentforce, combining deep knowledge of Salesforce platform configuration with Agentforce capabilities. Designed for administrators and AI practitioners, this credential proves you can implement and maintain autonomous AI agents that drive business impact. Earning it demonstrates hands-on expertise in the agentic AI era, positioning you as a leader in transforming how work gets done.
6Domains
26Objectives
133Concepts
0Questions
AGENTFORCE-SPECIALIST Curriculum
Every domain, objective, and concept the AGENTFORCE-SPECIALIST exam measures.
Given business requirements, identify when it's appropriate to use Prompt Builder.
- Identify Prompt Builder use cases
- Map business requirements to Prompt Builder features
- Distinguish Prompt Builder from other AI tools
- Evaluate constraints and limitations
Identify access controls governing prompt templates.
- Access Control Mechanisms for Prompt Templates
- Hierarchy of Access in Prompt Templates
- Template Visibility Settings
- User Permissions for Prompt Template Management
- Governance and Compliance in Prompt Template Access
Identify the considerations for using a prompt template type such as field generation and flex types.
- Prompt template types overview
- Field generation template considerations
- Flex template considerations
- Selecting the appropriate template type
Given a scenario, identify the appropriate grounding technique.
- Grounding techniques overview
- Data Cloud grounding
- Knowledge grounding
- Prompt template grounding
- Apex grounding
- Flow grounding
- MuleSoft grounding
- Choosing among grounding techniques
Explain the process for creating, activating, and executing prompt templates.
- Creating prompt templates
- Activating prompt templates
- Executing prompt templates
Explain how to implement best practices for writing effective prompts.
- Best practices overview
- Structuring prompts
- Providing context
- Iterative refinement
- Avoiding common pitfalls
Identify the security and privacy features of the Trust Layer.
- Trust Layer Overview
- Data Masking
- Secure Data Retrieval
- Prompt Injection Defense
- Data Residency and Compliance
- Audit and Logging
- Zero Retention Policy
- Toxicity and Bias Detection
Explain how to manage and prevent specific models from being accessed.
- Model access control
Explain the considerations of Agentforce Data Library and its concepts.
- Agentforce Data Library Purpose
- Data Source Types
- Data Ingestion and Synchronization
- Data Security and Permissions
- Data Library Limitations
- Data Library vs. Other Data Tools
Explain foundational concepts of Data 360 such as chunking, indexing, and retrievers.
- Data 360 Overview
- Chunking
- Indexing
- Retrievers
- Relationship Between Chunking, Indexing, and Retrievers
Explain how an agent works and its basic building blocks of agent script.
- Agent architecture overview
- Agent script role
- Instructions in agent script
- Topics and their function
- Actions and their role
- Agent script variables
- Agent script flow and orchestration
Explain the components and benefits of hybrid reasoning, including how Agent Script functions in Canvas and Script View.
- Hybrid reasoning definition
- Components of hybrid reasoning
- Benefits of hybrid reasoning
- Agent Script overview
- Canvas view functionality
- Script View functionality
- Comparison of Canvas and Script View
Given a use case, manage deterministic behavior for the agent using mechanisms like filters, variables, and template expressions.
- Deterministic behavior in agents
- Using filters to control agent behavior
- Using variables in agent logic
- Using template expressions for dynamic content
- Combining filters, variables, and template expressions
Given a scenario, select and configure standard topics, custom topics, standard Agent actions, and custom Agent actions.
- Scenario Analysis for Topic Selection
- Configuring Standard Topics
- Creating Custom Topics
- Selecting Standard Agent Actions
- Configuring Standard Agent Actions
- Creating Custom Agent Actions
- Configuring Custom Agent Actions
- Integrating Topics and Actions
Explain the process for connecting agents to various channels such as digital experience, email, voice, and Slack.
- Channel Connection Overview
- Digital Experience Channel
- Email Channel
- Voice Channel
- Slack Channel
- Channel-Specific Configuration
- Testing and Validation
Explain the security context in which the agent is actually running, and how it impacts agent action execution.
- Agent Runtime Security Context
- Impact of Security Context on Actions
- Action Execution Permissions
- Session and Authentication in Agent Execution
Given a scenario, identify when to use an Employee or Service agent.
- Employee Agent Use Cases
- Service Agent Use Cases
- Distinguishing Factors
- Scenario Analysis
Given a scenario, identify when it's appropriate to use Agent API.
- Agent API Use Cases
- Agent API vs. Other Integration Options
- Scenario Analysis for Agent API
Given a scenario, test an agent using Testing Center.
- Testing Center Overview
- Scenario Creation
- Test Execution
- Result Analysis
- Iterative Testing
Explain how Testing Center evaluations work.
- Purpose of Testing Center evaluations
- Evaluation criteria
- Test case creation
- Running evaluations
- Iterative improvement
Identify the considerations for deploying an agent from sandbox to production.
- Deployment prerequisites
- Deployment methods
- Dependency management
- Validation and testing
- Post-deployment considerations
Identify the considerations for deploying a template from sandbox to production.
- Template deployment prerequisites
- Deployment process steps
- Validation and testing before deployment
- Impact on production data and users
- Rollback and error handling
- Post-deployment verification
Explain the process for managing and monitoring agents.
- Agent Monitoring Overview
- Monitoring Agent Performance
- Managing Agent Lifecycle
- Handling Agent Errors and Issues
- Governance and Compliance in Agent Management
Explain agent analytics and agent optimization.
- Agent analytics overview
- Agent optimization overview
- Key analytics metrics
- Using analytics for optimization
- Monitoring and reporting
Given a scenario, determine whether a Multi Agent architecture is appropriate for scalability and control.
- Multi-Agent Architecture Suitability
- Scalability Considerations
- Control Mechanisms
- Trade-off Analysis
Explain the purpose of existing open standard multi-agent protocols such as MCP and A2A.
- Definition of MCP
- Definition of A2A
- Comparison of MCP and A2A
- Role in Multi-Agent Orchestration
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for AGENTFORCE-SPECIALIST, so none is invented.