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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Multi-Agent Interoperability | 5% | - Model Context Protocol (MCP) - Agent-to-agent communication - Agent API usage scenarios |
| Topic 2: AI Agents | 35% | - Agent architecture and reasoning engine - Topics and actions configuration - Deterministic controls: filters and variables - Agent User security and permissions - Agent types: Service, Sales, Employee - Channel integration: digital experience, email, Slack |
| Topic 3: Prompt Engineering | 20% | - Grounding techniques and best practices - Prompt Builder usage and use cases - Prompt template creation: field generation, flex types - Prompt management and user roles |
| Topic 4: Development Lifecycle | 15% | - Testing agents in Testing Center - Monitoring, adoption and optimization - Version control and maintenance - Deployment: sandbox to production |
| Topic 5: Data Cloud for Agentforce | 20% | - Agentforce Data Library types - Unstructured data processing: chunking, indexing - Improving response accuracy with data grounding - Retrievers and search types: keyword, vector, hybrid |
Salesforce Certified Agentforce Specialist Sample Questions:
1. A sales rep at Universal Containers is extremely busy and sometimes will have very long sales calls on voice and video calls and might miss key details. They are just starting to adopt new generative AI features. Which Einstein Generative AI feature should An Agentforce recommend to help the rep get the details they might have missed during a conversation?
A) Call Summary
B) Sales Summary
C) Call Explorer
2. The Agentforce Specialist for Coral Cloud Resorts wants to create an agent that will automate the resolution of a large portion of guest complaints related to their vacation experiences. The agent will be able to offer upgrades, hotel credit, and other complimentary options. The agent will also be in charge of escalating the case to a human when a guest has suffered a major disruption (such as cancellation). Following Salesforce best practices, which type of agent should the Agentforce Specialist create?
A) Sales A Agent with a Flex prompt template
B) Custom Agent with a Flex prompt template
C) Service Agent with a Flex prompt template
3. A Salesforce Agentforce Specialist is reviewing the feedback from a customer about the ineffectiveness of the prompt template. What should the Agentforce Specialist do to ensure the prompt template's effectiveness?
A) Monitor and refine the template based on user feedback.
B) Use the Prompt Builder Scorecard to help monitor.
C) Periodically change the templates grounding object.
4. Universal Containers implemented Agent for its users. One user complains that Agent is not deleting activities from the past 7 days. What is the reason for this issue?
A) Agent does not support the Delete Record action.
B) Agent does not have the permission to delete the user's records.
C) Agent Delete Record Action permission is not associated to the user.
5. Universal Containers (UC) plans to answer questions based on similar cases that have been successfully resolved in the past. What should UC consider when implementing this approach?
A) Create an unstructured data model object (UDMO) based on Case object and create an index on it.
B) Create a data model object (DMO) based on Case object and create an index on it.
C) No action is needed, as past cases are used to answer the question.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A |








