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Salesforce AI-201 Exam Syllabus Topics:

Salesforce Certified Agentforce Specialist Sample Questions:

1. Universal Containers (UC) wants to implement an AI-powered customer service agent that can:
- Retrieve proprietary policy documents that are stored as PDFs.
- Ensure responses are grounded in approved company data, not generic
LLM knowledge.
What should UC do first?

A) Expand the AI agent's scope to search all Salesforce records.
B) Add the files to the content, and then select the data library option.
C) Set up an Agentforce Data Library for AI retrieval of policy documents.

2. Coral Cloud Resorts (CCR) sees the agent forgot the dietary/activity preferences gathered earlier.
They need those preferences to persist throughout the session. What should CCR implement?

A) Rely on natural conversation memory and instruct the agent to look back.
B) Create a context variable to capture/store customer preferences as action outputs.
C) Configure custom variables to capture/store customer preferences from action outputs.

3. Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback data to be accessible for reporting purposes.
What is a consideration for this requirement?

A) Storing this data requires Salesforce big objects.
B) Storing this data requires Data Cloud to be provisioned.
C) Storing this data requires a custom object for data to be configured.

4. When a verified customer in a help center says, "I want to upgrade my service plan," an AI agent needs to complete the following tasks:
- Verify identity and entitlement.
- Create a new quote.
- Calculate a prorated upgrade amount.
- Escalate to an Account Executive (AE) only if the reorder exceeds USD
25,000.
Which type of agent should an AgentForce Specialist build to support this use case?

A) Sales Agent to handle the upsell and large-deal escalation
B) Employee Agent to orchestrate internal logistics and finance
C) Service Agent to resolve the case end-to-end and create a new opportunity for the sales team

5. 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.

Solutions: