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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Cloud for Agentforce | 20% | - Improving response accuracy with data grounding - Retrievers and search types: keyword, vector, hybrid - Agentforce Data Library types - Unstructured data processing: chunking, indexing |
| AI Agents | 35% | - Topics and actions configuration - Agent User security and permissions - Agent architecture and reasoning engine - Channel integration: digital experience, email, Slack - Agent types: Service, Sales, Employee - Deterministic controls: filters and variables |
| Prompt Engineering | 20% | - Prompt Builder usage and use cases - Grounding techniques and best practices - Prompt template creation: field generation, flex types - Prompt management and user roles |
| Multi-Agent Interoperability | 5% | - Model Context Protocol (MCP) - Agent API usage scenarios - Agent-to-agent communication |
| Development Lifecycle | 15% | - Testing agents in Testing Center - Version control and maintenance - Monitoring, adoption and optimization - Deployment: sandbox to production |
Salesforce Certified Agentforce Specialist Sample Questions:
Universal Containers (UC) wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) in a prompt template. How should UC accomplish this?
- A. Create a prompt template passing in a special custom object that connects the records temporarily.
- B. Create a prompt template-triggered flow to access the data from standard and custom objects.
- C. Use a Record Snapshot to combine data from unrelated objects into a single prompt.
- D. Create a Flex template to add resources with standard and custom objects as inputs.
Correct Answer: D 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
Universal Containers wants to incorporate the current order fulfillment status into a prompt for a large language model (LLM). The order status is stored in the external enterprise resource planning (ERP) system. Which data grounding technique should the Agentforce Specialist recommend?
- A. Apex Merge Fields
- B. External Services Merge Fields
- C. Eternal Object Record Merge Fields
Correct Answer: C 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
In a Knowledge-based data library configuration, what is the primary difference between the identifying fields and the content fields?
- A. Identifying fields categorize articles for indexing purposes, while content fields provide a brief summary for display.
- B. Identifying fields highlight key terms for relevance scoring, while content fields store the full text of the article for retrieval.
- C. Identifying fields help locate the correct Knowledge article, while content fields enrich AI responses with detailed information.
Correct Answer: C 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
Universal Containers is planning a marketing email about products that most closely match a customer's expressed interests. What should An Agentforce recommend to generate this email?
- A. Custom sales email template which is grounded with interest and product information
- B. Standard email draft with Einstein and choose standard email template
- C. Standard email marketing template using Apex or flows for matching interest in products
Correct Answer: A 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
Universal Containers has a strict change management process that requires all possible configuration to be completed in a sandbox which will be deployed to production. The Agentforce Specialist is tasked with setting up Work Summaries for Enhanced Messaging. Einstein Generative AI is already enabled in production, and the Einstein Work Summaries permission set is already available in production. Which other configuration steps should the Agentforce Specialist take in the sandbox that can be deployed to the production org?
- A. Create custom fields to store issue, Resolution, and Summary; create a Quick Action that updates these fields: add the Wrap Up component to the Messaging Session record paae layout: and create Permission Set Assignments for the intended Agents.
- B. Create custom fields to store issue, Resolution, and Summary; create a Quick Action that updates these fields: and ado the Wrap up component to the Messaging session record page lavcut.
- C. From the Epstein setup menu, select Turn on Einstein: create custom fields to store Issue, Resolution, and Summary: create a Quick Action that updates these fields: and add the wrap up componert to the Messaging session record page layout.
Correct Answer: B 🗳️
Explanation: Only visible for TestPassed members. You can sign-up / login (it's free).
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