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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 20% | - Prompt Builder usage
|
| Topic 2: Governance & Observability | 10% | - AI governance
|
| Topic 3: AI Agents | 35% | - Agent behavior configuration
|
| Topic 4: Data Cloud & Grounding | 20% | - Data integration for AI agents
|
| Topic 5: Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
Salesforce Certified Agentforce Specialist Sample Questions:
After configuring and saving a Salesforce Agentforce Data Library (regardless of the data source), which components are automatically created and available in Data Cloud?
- A. A data pipeline, an indexing engine, and a query processor
- B. A data connector, an analytics dashboard, and a workflow rule
- C. A data stream, a search index, and a retriever
Correct Answer: C 🗳️
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A sales manager is using Agent Assistant to streamline their daily tasks. They ask the agent to Show me a list of my open opportunities. How does the large language model (LLM) in Agentforce identify and execute the action to show the sales manager a list of open opportunities?
- A. The LLM uses a static set of rules to match the user's request with predefined topics and actions, bypassing the need for dynamic interpretation and planning.
- B. The LLM interprets the user's request, generates a plan by identifying the apcMopnete topics and actions, and executes the actions to retrieve and display the open opportunities
- C. Using a dialog pattern. the LLM matches the user query to the available topic, action and steps then performs the steps for each action, such as retrieving a fast of open opportunities.
Correct Answer: B 🗳️
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Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing auto launched flow to query the information from Oracle ERP, which is the system of record for the order fulfillment process. How should An Agentforce apply the power of conversational AI to this use case?
- A. Configure the Integration Flow Standard Action in Agent.
- B. Create a Flex prompt template in Prompt Builder.
- C. Create a custom copilot action which calls a flow.
Correct Answer: C 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
An administrator at Universal Containers is setting up a new Sales Development Representative (SDR) Agent. The agent's purpose is to nurture cold leads before connecting them to the assigned sales rep. To ensure the agent has all the necessary access to the leads in the North America sales region, what should the administrator data?
- A. Assign the user in the highest-level role within the North America role hierarchy as the SDR Agent User.
- B. Create a criteria-based sharing rule to grant access to targeted lead records to SDR Agent User.
- C. Grant View All record permission of the Lead object to the `Einstein Agent User' profile,
Correct Answer: B 🗳️
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An Agentforce Agent has been developed with multiple topics and Agent Actions that use flows and Apex. Which options are available for deploying these to production?
- A. Deploy the flows and Apex using normal deployment tools and manually create the agent-related items in production.
- B. Use only change sets because the Salesforce CLI does not currently support the deployment of agent-related metadata.
- C. Deploy flows, Apex, and all agent-related items using either change sets or the Salesforce CLI/Metadata API.
Correct Answer: C 🗳️
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