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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 20% | - Prompt Builder usage
|
| Topic 2: Data Cloud & Grounding | 20% | - Data integration for AI agents
|
| Topic 3: AI Agents | 35% | - Agent setup and orchestration
|
| Topic 4: Governance & Observability | 10% | - AI governance
|
| Topic 5: Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
Salesforce Certified Agentforce Specialist Sample Questions:
1. What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?
A) Identify the best matching topic and actions and correct order of execution.
B) Find similar requested topics and provide the actions that need to be executed.
C) Determine a user's topic access and sort actions by priority to be executed.
2. What should Universal Containers consider when deploying an Agentforce Service Agent with multiple topics and Agent Actions to production?
A) Ensure all dependencies are included, Apex classes meet 75% test coverage, and configuration settings are aligned with production. Plan for version management and post-deployment activation.
B) Deploy flows or Apex after agents, topics, and Agent Actions to avoid deployment failures and potential production agent issues requiring complete redeployment.
C) Deploy agent components without a test run in staging, relying on production data for reliable results. Sandbox configuration alone ensures seamless production deployment.
3. 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 Delete Record Action permission is not associated to the user.
C) Agent does not have the permission to delete the user's records.
4. How does Agentforce select the correct action to resolve a user's request?
A) The reasoning engine identifies the agent action to be executed by its name and action input instructions.
B) The large language model (LLM) selects the right topic and action, if they exist. If there are no matches, the LLM attempts to answer the user's request.
C) Each topic contains a list of the matching action's user utterances so that the agent can map the user request to the right topic and action.
5. 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
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: C |
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