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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 20% | - Grounding techniques and best practices - Prompt management and user roles - Prompt template creation: field generation, flex types - Prompt Builder usage and use cases |
| Topic 2: Multi-Agent Interoperability | 5% | - Agent API usage scenarios - Model Context Protocol (MCP) - Agent-to-agent communication |
| Topic 3: AI Agents | 35% | - Agent types: Service, Sales, Employee - Deterministic controls: filters and variables - Channel integration: digital experience, email, Slack - Topics and actions configuration - Agent User security and permissions - Agent architecture and reasoning engine |
| Topic 4: Development Lifecycle | 15% | - Deployment: sandbox to production - Monitoring, adoption and optimization - Version control and maintenance - Testing agents in Testing Center |
| Topic 5: Data Cloud for Agentforce | 20% | - Improving response accuracy with data grounding - Retrievers and search types: keyword, vector, hybrid - Agentforce Data Library types - Unstructured data processing: chunking, indexing |
Salesforce Certified Agentforce Specialist Sample Questions:
An Agentforce Agent has been developed with multiple topics and Agent Actions that use flows and Apex. Which options are available for deploying these to production?
- A. Deploy the flows and Apex using normal deployment tools and manually create the agent-related items in production.
- B. Use only change sets because the Salesforce CLI does not currently support the deployment of agent-related metadata.
- C. Deploy flows, Apex, and all agent-related items using either change sets or the Salesforce CLI/Metadata API.
Correct Answer: C 🗳️
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Universal Containers (UC) has recently received an increased number of support cases. As a result, UC has hired more customer support reps and has started to assign some of the ongoing cases to newer reps. Which generative AI solution should the new support reps use to understand the details of a case without reading through each case comment?
- A. Einstein Sales Summaries
- B. Agent
- C. Einstein Work Summaries
Correct Answer: C 🗳️
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Universal Containers (UC) has a mature Salesforce org with a lot of data in cases and Knowledge articles. UC is concerned that there are many legacy fields, with data that might not be applicable for Einstein AI to draft accurate email responses. Which solution should UC use to ensure Einstein AI can draft responses from a defined data source?
- A. Service AI Grounding
- B. Service Replies
- C. Work Summaries
Correct Answer: A 🗳️
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Which scenario best illustrates the use of Model Context Protocol (MCP) in an enterprise Al deployment?
- A. A legal assistant agent using MCP to dynamically find a document classification API to analyze case files
- B. A sales agent discovering other agents' capabilities using Agent Cards
- C. A customer service agent engaging another agent in real-time conversation to resolve tickets
Correct Answer: A 🗳️
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Universal Containers (UC) is setting up a new Agentforce Service Agent. The company has sensitive medical product research stored internally and wants to ensure the agent cannot access it. What should UC da?
- A. Follow the principle of least privilege and avoid granting permission to view the Medical Product object or related
- B. Disable the Agentforce Service Agent's ability to use any Salesforce custom object or related fields.
- C. Assign the Agentforce Service Agent user the lowest possible role in the organization's hierarchy to block access.
Correct Answer: A 🗳️
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