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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Agents | 35% | - Agent User security and permissions - Topics and actions configuration - Agent types: Service, Sales, Employee - Deterministic controls: filters and variables - Channel integration: digital experience, email, Slack - Agent architecture and reasoning engine |
| Data Cloud for Agentforce | 20% | - Retrievers and search types: keyword, vector, hybrid - Improving response accuracy with data grounding - Agentforce Data Library types - Unstructured data processing: chunking, indexing |
| Multi-Agent Interoperability | 5% | - Model Context Protocol (MCP) - Agent-to-agent communication - Agent API usage scenarios |
| Prompt Engineering | 20% | - Prompt Builder usage and use cases - Prompt template creation: field generation, flex types - Grounding techniques and best practices - Prompt management and user roles |
| Development Lifecycle | 15% | - Deployment: sandbox to production - Testing agents in Testing Center - Version control and maintenance - Monitoring, adoption and optimization |
Salesforce Certified Agentforce Specialist Sample Questions:
Question #1
Universal Containers (UC) is Implementing Service AI Grounding to enhance its customer service operations. UC wants to ensure that its AI- generated responses are grounded in the most relevant data sources. The team needs to configure the system to include all supported objects for grounding. Which objects should UC select to configure Service AI Grounding?
A. Case and Knowledge
B. Case, Case Emails, and Knowledge
C. Case, Knowledge, and Case Notes
Question #2
What is an Agentforce Specialist able to do when the `Enrich event logs with conversation data' setting in the Agentforce configuration is enabled?
A. Generate details reports on all agent conversations over any time period.
B. View the user click path that led to each agent action.
C. View session data including user input and agent responses for sessions.
Question #3
Universal Containers recently added a custom flow for processing returns and created a new Agent Action. Which action should the company take to ensure the Agentforce Service Agent can run this new flow as part of the new Agent Action?
A. Assign the Manage Users permission to the Agentforce Agent user.
B. Recreate the flow using the Agentforce agent user.
C. Assign the Run Flows permission to the Agentforce Agent user.
Question #4
Universal Containers (UC) is preparing to use the Agentforce Testing Center to ensure the reliability of a new agent. UC has a CSV file with test cases and is reviewing the documentation to understand best practices and limitations. Which best practice should the company follow to avoid modifying CRM data while running tests in the Testing Center?
A. Use the Testing Center only in the sandbox environment.
B. Limit the number of test cases to 50 per test to minimize data changes.
C. Run tests in the production environment to ensure real-time data accuracy.
Question #5
Universal Containers (UC) wants to implement an AI-powered customer service agent that can:
- Retrieve proprietary policy documents that are stored as PDFs.
- Ensure responses are grounded in approved company data, not generic
LLM knowledge.
What should UC do first?
A. Add the files to the content, and then select the data library option.
B. Expand the AI agent's scope to search all Salesforce records.
C. Set up an Agentforce Data Library for AI retrieval of policy documents.
Solutions:
| Question #1 Correct Answer: A | Question #2 Correct Answer: C | Question #3 Correct Answer: C | Question #4 Correct Answer: A | Question #5 Correct Answer: C |






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