


Salesforce Certified Agentforce Specialist Practice Tests
Prepare for the Salesforce Certified Agentforce Specialist exam with practice tests covering the current certification objectives and practical Agentforce implementation scenarios.
The Salesforce Certified Agentforce Specialist credential validates your ability to configure and manage AI agents and prompt templates on the Salesforce Platform. It focuses on building agents that reason and take action, grounding AI with trusted Salesforce data, testing and deploying agents, monitoring performance, and working with multi-agent architectures.
This practice test course covers important areas including Agentforce Agent Builder, Prompt Builder, prompt templates, grounding, Data 360, Agentforce Data Library, AI agents, Agent Script, hybrid reasoning, agent actions, Agentforce Testing Center, Trust Layer, agent analytics, governance, MCP, A2A, and multi-agent orchestration.
Rather than memorizing Agentforce terminology, you will work through scenario-based questions that require you to choose the right configuration or approach for a specific business requirement.
You may encounter situations involving selecting a prompt template type, choosing a grounding technique, controlling agent behavior with variables and filters, configuring topics and actions, connecting an agent to a channel, testing an agent before deployment, or deciding whether a multi-agent architecture fits a business use case.
Each Salesforce Agentforce Specialist practice test is timed and scored, helping you become more familiar with the pace and style of the certification exam.
After each test, you can review clear explanations for every question to understand why the correct answer fits the scenario and why the other choices do not.
Salesforce Certified Agentforce Specialist Exam Overview
Certification: Salesforce Certified Agentforce Specialist
Questions: 60 multiple-choice questions plus up to 5 unscored questions
Time Limit: 105 minutes
Passing Score: 72%
Exam Version: Spring ’26
Registration Fee: US$200 plus applicable taxes
Retake Fee: US$100 plus applicable taxes
Delivery: Proctored online or onsite at a testing center
Reference Materials: Not permitted during the exam
Prerequisite: None
Languages: English, French, and Japanese
Salesforce notes that a typical candidate has experience with Salesforce Platform configuration, standard objects, Data 360, Agentforce Agent Builder, Prompt Builder, Testing Center, and sandbox-to-production deployment.
Salesforce Agentforce Specialist Exam Topics Covered
Prompt Engineering – 20%
Practice questions covering how Prompt Builder is used to create effective and secure AI experiences.
Topics include:
Prompt Builder
Prompt templates
Field Generation templates
Flex templates
Prompt template access controls
Creating and activating prompt templates
Executing prompt templates
Prompt grounding
Selecting grounding techniques
Writing effective prompts
Prompt design considerations
Salesforce Trust Layer
Security and privacy controls
Model access management
You will work through scenarios where you must determine when Prompt Builder should be used and how a prompt should be configured for a particular business requirement.
Prompt Grounding and Trust
Practice scenarios help you understand how Salesforce provides relevant business context to generative AI while protecting organizational information.
Topics may include:
Grounding techniques
Salesforce record data
Data 360 data
Prompt context
Trusted business information
Trust Layer protections
Data privacy
Model access
Secure prompt execution
Questions focus on choosing the right grounding approach and understanding how Salesforce protects information used by AI.
Data 360 Fundamentals – 20%
Review the Data 360 concepts used to provide agents with trusted and relevant enterprise information.
Practice topics include:
Agentforce Data Library
Data Library use cases
Data grounding
Chunking
Indexing
Retrievers
Unstructured data concepts
Retrieval considerations
Connecting relevant enterprise information to Agentforce
You will practice scenarios where an agent needs access to organizational knowledge and you must determine how Data 360 capabilities can support retrieval and grounding.
Agentforce Data Library
Understand how Agentforce can use business information when responding to users or performing tasks.
Practice questions may involve:
Building an Agentforce Data Library
Selecting suitable data sources
Chunking content
Creating indexes
Using retrievers
Retrieving relevant information
Grounding agent responses
Improving contextual responses
AI Agents – 35%
This is the largest domain of the current Salesforce Certified Agentforce Specialist exam.
Practice questions cover the core concepts required to configure and manage Salesforce AI agents.
Topics include:
Agentforce agents
Agent building blocks
Agent Script
Next-generation authoring
Canvas View
Script View
Hybrid reasoning
Agent reasoning behavior
Deterministic agent behavior
Filters
Variables
Template expressions
Standard topics
Custom topics
Standard agent actions
Custom agent actions
Employee agents
Service agents
Agent security context
Action execution
Agent API
You will work through scenarios where an agent must reason about a request, select an appropriate topic, execute an action, or follow specific business rules.
Agent Script and Hybrid Reasoning
Review how the current Agentforce authoring experience supports both flexible AI reasoning and controlled business logic.
Topics include:
Agent Script
Agent instructions
Canvas View
Script View
Hybrid reasoning
Deterministic controls
Variables
Filters
Template expressions
Controlling agent behavior
Questions help you understand when flexible reasoning is useful and when agent behavior needs more predictable controls.
Topics and Agent Actions
Practice configuring the capabilities that determine what an Agentforce agent can understand and do.
Topics include:
Standard topics
Custom topics
Topic selection
Standard actions
Custom actions
Action configuration
Business process requirements
Agent instructions
Action execution
Agent security context
You will work through situations where an agent needs specific capabilities and must be configured with the appropriate topics and actions.
Agent Channels
Review how Agentforce agents can interact with users through different Salesforce and external experiences.
Practice topics include:
Digital Experience
Voice
Slack
Agent channels
Channel considerations
Employee-facing agents
Customer-facing agents
Service use cases
Questions focus on determining how an agent should be made available based on the users and business process involved.
Employee and Service Agents
Practice recognizing when different Agentforce agent types fit a particular scenario.
Topics include:
Employee agents
Service agents
Internal business processes
Customer service scenarios
Agent actions
Data access
Security context
Agent capabilities
Testing, Deployment, and Maintenance – 10%
Practice the activities required to move an Agentforce solution from development into production.
Topics include:
Agentforce Testing Center
Testing agent behavior
Testing Center evaluations
Test scenarios
Evaluating agent responses
Agent quality
Sandbox-to-production deployment
Deploying agents
Deploying prompt templates
Deployment considerations
Post-deployment maintenance
You will work through situations where an agent must be validated before release or moved between Salesforce environments.
Agentforce Testing Center
Review how Salesforce helps teams evaluate agents before they are exposed to real users.
Practice scenarios include:
Creating agent tests
Evaluating expected behavior
Testing different user requests
Reviewing results
Identifying unexpected behavior
Improving agent configurations
Validating agents before deployment
Governance and Observability – 10%
Learn how Agentforce implementations are monitored after agents are deployed.
Practice topics include:
Agent management
Agent monitoring
Agent analytics
Agent performance
Agent optimization
Observability
Identifying areas for improvement
Reviewing agent behavior
Ongoing agent maintenance
Questions focus on understanding how administrators and Agentforce specialists can monitor agents and use performance information to improve them.
Agent Analytics and Optimization
Practice scenarios involving the ongoing operation of AI agents.
Topics may include:
Agent analytics
Usage monitoring
Performance trends
Agent behavior
Identifying unsuccessful interactions
Optimizing agent configuration
Monitoring production agents
Continuous improvement
Multi-Agent Orchestration – 5%
Review the concepts involved when multiple AI agents need to work together.
Practice topics include:
Multi-agent architecture
Multi-agent orchestration
Scalability
Control
Agent collaboration
Model Context Protocol (MCP)
Agent-to-Agent protocol (A2A)
Open standards for agent communication
Selecting single-agent versus multi-agent architectures
You will practice determining when a multi-agent solution is appropriate rather than adding more functionality to a single agent.
MCP and A2A
Understand the purpose of current open standards used in AI agent architectures.
Practice questions may cover:
Model Context Protocol (MCP)
Agent-to-Agent communication
A2A
Agent interoperability
Connecting agents with external tools and systems
Multi-agent communication
Architecture considerations
What Makes This Practice Test Course Useful?
Current Agentforce Specialist Coverage
Practice the current Spring ’26 topics, including newer concepts such as Agent Script, hybrid reasoning, Agentforce Testing Center, governance, MCP, A2A, and multi-agent orchestration.
Scenario-Based Agentforce Questions
Work through situations involving prompt templates, grounding, Data 360, agent topics, actions, channels, testing, deployment, and agent monitoring.
Prompt Builder and Agent Builder Practice
Review the two major areas involved in creating Salesforce AI experiences: prompt engineering and AI agent configuration.
Clear Answer Explanations
Every question includes an explanation to help you understand why the correct answer fits the requirement and why the other options do not.
Full Exam Domain Review
Practice across all six current exam areas:
Prompt Engineering – 20%
Data 360 Fundamentals – 20%
AI Agents – 35%
Testing, Deployment, and Maintenance – 10%
Governance and Observability – 10%
Multi-Agent Orchestration – 5%
Practice on Any Device
Use the practice tests from desktop, tablet, or mobile and repeat them as you review each Agentforce topic.
Udemy Refund Policy
Eligible individual course purchases are covered by Udemy's 30-day refund policy, subject to Udemy's current eligibility requirements and refund terms.
Who Should Take This Course?
This course is suitable for:
Candidates preparing for the Salesforce Certified Agentforce Specialist exam
Salesforce Administrators working with Agentforce
Salesforce Developers implementing AI-powered Salesforce solutions
Salesforce Architects planning Agentforce implementations
AI and Automation Consultants
Professionals working with Prompt Builder
Professionals working with Agentforce Agent Builder
Salesforce professionals using Data 360 for AI grounding
Teams responsible for Agentforce testing, deployment, governance, or optimization
Professionals interested in building Salesforce AI agents without needing extensive AI model development knowledge
Prerequisites
There is no required certification prerequisite for the Salesforce Certified Agentforce Specialist exam.
Salesforce recommends practical familiarity with the Salesforce Platform, standard objects, Data 360, Agentforce Agent Builder, Prompt Builder, Testing Center, and agent deployment concepts.
The Salesforce Certified Platform Administrator and Salesforce Certified Platform App Builder certifications are recommended by Salesforce but are not required.
Prepare for the Salesforce Agentforce Specialist Exam
By completing these practice tests, you will gain more experience with Salesforce Certified Agentforce Specialist exam questions and strengthen your understanding of how Agentforce is configured, grounded, tested, deployed, monitored, and scaled.
Review Prompt Builder, prompt templates, Data 360, Agentforce Data Library, chunking, indexing, retrievers, AI agents, Agent Script, hybrid reasoning, topics, actions, Agent API, Testing Center, Trust Layer, governance, analytics, MCP, A2A, and multi-agent orchestration before taking the certification exam.
Use these practice tests alongside hands-on Agentforce experience, Trailhead learning, Agentblazer content, and the official Salesforce exam guide as you prepare for the Salesforce Certified Agentforce Specialist certification.