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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud for Agentforce | 20% | - Unstructured data processing: chunking, indexing - Agentforce Data Library types - Improving response accuracy with data grounding - Retrievers and search types: keyword, vector, hybrid |
| Topic 2: AI Agents | 35% | - Deterministic controls: filters and variables - Agent architecture and reasoning engine - Topics and actions configuration - Agent types: Service, Sales, Employee - Channel integration: digital experience, email, Slack - Agent User security and permissions |
| Topic 3: Development Lifecycle | 15% | - Testing agents in Testing Center - Version control and maintenance - Monitoring, adoption and optimization - Deployment: sandbox to production |
| Topic 4: Prompt Engineering | 20% | - Prompt management and user roles - Prompt template creation: field generation, flex types - Grounding techniques and best practices - Prompt Builder usage and use cases |
| Topic 5: Multi-Agent Interoperability | 5% | - Agent API usage scenarios - Model Context Protocol (MCP) - Agent-to-agent communication |
Salesforce Certified Agentforce Specialist Sample Questions:
A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries. Responses must be grounded in the organization's knowledge base to maintain consistency and accuracy. Which feature in Einstein for Service should the support team use?
- A. Einstein Knowledge Recommendations
- B. Einstein Service Replies
- C. Einstein Reply Recommendations
Correct Answer: B 🗳️
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Which action should an admin take if an Agentforce agent consistently fails on edge cases?
- A. Remove human oversight
- B. Disable logging
- C. Increase autonomy
- D. Add fallback and escalation paths
Correct Answer: D 🗳️
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After an agent selects a topic, what is an important factor the reasoning engine uses to select the action?
- A. The explicit order of actions in the topic
- B. The name and instructions of the actions
- C. The priority given to each action
Correct Answer: C 🗳️
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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 session data including user input and agent responses for sessions.
- C. View the user click path that led to each agent action.
Correct Answer: B 🗳️
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Universal Containers (UC) is tracking web activities in Data Cloud for a unified contact, and wants to use that in a prompt template to help extract insights from the data. Assuming that the Contact object is one of the objects associated with the prompt template, what is a valid way for DC to do this?
- A. Call the prompt directly from Data Cloud with a web tracing activity included in the prompt definition.
- B. Add the activity records as an enrichment related list to the Contact then pass the Contact into a prompt template workspace using related list grounding.
- C. Create a prompt template that takes a list of all Data Cloud activity records as input to pass to the large language model (LLM).
Correct Answer: B 🗳️
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