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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud for Agentforce | 20% | - Improving response accuracy with data grounding - Unstructured data processing: chunking, indexing - Agentforce Data Library types - Retrievers and search types: keyword, vector, hybrid |
| Topic 2: Prompt Engineering | 20% | - Grounding techniques and best practices - Prompt template creation: field generation, flex types - Prompt management and user roles - Prompt Builder usage and use cases |
| Topic 3: Development Lifecycle | 15% | - Testing agents in Testing Center - Monitoring, adoption and optimization - Deployment: sandbox to production - Version control and maintenance |
| Topic 4: Multi-Agent Interoperability | 5% | - Agent API usage scenarios - Agent-to-agent communication - Model Context Protocol (MCP) |
| Topic 5: AI Agents | 35% | - Deterministic controls: filters and variables - Agent architecture and reasoning engine - Topics and actions configuration - Channel integration: digital experience, email, Slack - Agent User security and permissions - Agent types: Service, Sales, Employee |
Salesforce Certified Agentforce Specialist Sample Questions:
Question 1
Universal Containers is indexing millions of product manuals where users may ask both structured queries (model numbers) and natural language questions (for example, "How do I reset my device?"). Which retrieval approach should the company use?
A. Use semantic search only, as natural language is always preferred.
B. Use keyword search only, since model numbers dominate queries.
C. Use hybrid search to combine keyword precision with semantic flexibility.
Question 2
Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation. Which features should the Agentforce Specialist recommend?
A. Service Replies and Case Summaries
B. Reply Recommendations and Sales Summaries
C. Service Replies and Work Summaries
Question 3
An agent must comply with regional data regulations (e.g., GDPR). Which Salesforce capability MOST directly supports this?
A. Einstein Trust Layer governance controls
B. Custom metadata types
C. Reports and Dashboards
D. Lightning App Builder
Question 4
Universal Containers wants to incorporate the current order fulfillment status into a prompt for a large language model (LLM). The order status is stored in the external enterprise resource planning (ERP) system. Which data grounding technique should the Agentforce Specialist recommend?
A. External Services Merge Fields
B. Eternal Object Record Merge Fields
C. Apex Merge Fields
Question 5
Universal Containers (UC) wants to improve the efficiency of addressing customer questions and reduce agent handling time with AI- generated responses. The agents should be able to leverage their existing knowledge base and identify whether the responses are coming from the large language model (LLM) or from Salesforce Knowledge. Which step should UC take to meet this requirement?
A. Turn on Service Replies, Service AI Grounding, and Grounding with Knowledge.
B. Turn on Service AI Grounding and Grounding with Knowledge.
C. Turn on Service AI Grounding, Grounding with Case, and Service Replies.
Solutions:
| Question 1 Answer: C | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: B | Question 5 Answer: B |



