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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering | 20% | - Prompt template creation: field generation, flex types - Grounding techniques and best practices - Prompt management and user roles - Prompt Builder usage and use cases |
| Multi-Agent Interoperability | 5% | - Agent-to-agent communication - Agent API usage scenarios - Model Context Protocol (MCP) |
| AI Agents | 35% | - Deterministic controls: filters and variables - Topics and actions configuration - Agent types: Service, Sales, Employee - Agent architecture and reasoning engine - Agent User security and permissions - Channel integration: digital experience, email, Slack |
| Development Lifecycle | 15% | - Testing agents in Testing Center - Deployment: sandbox to production - Monitoring, adoption and optimization - Version control and maintenance |
| 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 |
Salesforce Certified Agentforce Specialist Sample Questions:
Universal Containers wants to automatically populate the Description field on the Account object.
- A. Sales Email
- B. Flex
- C. Field Generation
The Agentforce Specialist of Northern Trail Outfitters reviewed the organization's data masking settings within the Configure Data Masking menu within Setup. Upon assessing all of the fields, a few additional fields were deemed sensitive and have been masked within Einstein's Trust Layer.
Which steps should the Agentforce Specialist take upon modifying the masked fields?
- A. Turn off the Einstein Trust Layer and turn it on again.
- B. Turn on Einstein Feedback so that end users can report if there are any negative side effects on AI features.
- C. Test and confirm that the responses generated from prompts that utilize the data and masked data do not adversely affect the quality of the generated response
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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. Service Agent to resolve the case end-to-end and create a new opportunity for the sales team
- B. Sales Agent to handle the upsell and large-deal escalation
- C. Employee Agent to orchestrate internal logistics and finance
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An Agentforce created a custom Agent action, but it is not being picked up by the planner service in the correct order. Which adjustment should the Al Specialist make in the custom Agent action instructions for the planner service to work as expected?
- A. Specify the dependent actions with the reference to the action API name.
- B. Specify the profiles or custom permissions allowed to invoke the action.
- C. Specify the LLM model provider and version to be used to invoke the action.
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An Agentforce Specialist is tasked with analyzing Agent interactions, looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the Agentforce Specialist to achieve this?
- A. Agent Event Logs dashboard.
- B. AI Audit and Feedback Data dashboard.
- C. User Utterances dashboard.
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