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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Development Lifecycle | 15% | - Monitoring, adoption and optimization - Deployment: sandbox to production - Version control and maintenance - Testing agents in Testing Center |
| Topic 2: Data Cloud for Agentforce | 20% | - Improving response accuracy with data grounding - Unstructured data processing: chunking, indexing - Retrievers and search types: keyword, vector, hybrid - Agentforce Data Library types |
| Topic 3: AI Agents | 35% | - Agent types: Service, Sales, Employee - Deterministic controls: filters and variables - Agent architecture and reasoning engine - Topics and actions configuration - Agent User security and permissions - Channel integration: digital experience, email, Slack |
| Topic 4: Multi-Agent Interoperability | 5% | - Agent API usage scenarios - Agent-to-agent communication - Model Context Protocol (MCP) |
| Topic 5: Prompt Engineering | 20% | - Prompt Builder usage and use cases - Grounding techniques and best practices - Prompt template creation: field generation, flex types - Prompt management and user roles |
Salesforce Certified Agentforce Specialist Sample Questions:
1. Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing autolaunched flow to query the Information from Oracle ERP, which is the system of record for the order fulfillment process. How should an Agentforce Specialist apply the power of conversational AI to this use case?
A) Create a custom Agent action which calls a flow.
B) Configure the Integration Flow Standard Action in Agent Builder.
C) Create a Flex prompt template in Prompt Builder.
2. Universal Containers has set up a Service Agent to allow customers to look up their order status.
The topic setup includes:
Name: Order Inquiry
Classification Description: Handles user requests to look up order status, including tracking details and delivery estimates for orders placed within the last 90 days.
Scope: Your job is only to assist authenticated users in looking up the status of their orders placed within the last 90 days. If the order is pending delivery, provide the tracking number and estimated delivery date. Do not handle inquiries for orders older than 90 days.
Which information will be used by the Agentforce reasoning engine to choose this topic?
A) Classification Description and Scope
B) Topic Name and Classification Description
C) Topic Name and Scope
3. Universal Containers' administrator has developed a new agent in a sandbox environment and now wants to deploy it to production. What should the administrator do to deploy an agent?
A) Export agent components as JSON files and manually import them inte production using the Metadata API.
B) Manually recreate the agent configuration, topics, and actions in production because change sets cannot be used.
C) Create an outbound change set with all the necessary agent components, then upload to production.
4. Which statement explains why a company might prefer a hybrid search index in Data Cloud for Agentforce?
A) Hybrid search indexes support both literal keyword matches and semantic recall, useful when queries mix specific terms and intent.
B) Hybrid search indexes process queries faster than vector search because they eliminate the need for semantic embedding.
C) Vector embedding in hybrid search are prefiltered by keyword matches, reducing computational overhead and improving response accuracy.
5. A sales manager needs to contact leads at scale with hyper-relevant solutions and customized communications in the most efficient manner possible. Which Salesforce solution best suits this need?
A) Prompt Builder
B) Einstein Sales Assistant
C) Einstein Lead follow-up
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: A |
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