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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Cloud for Agentforce | 20% | - Agentforce Data Library types - Unstructured data processing: chunking, indexing - Retrievers and search types: keyword, vector, hybrid - Improving response accuracy with data grounding |
| Development Lifecycle | 15% | - Testing agents in Testing Center - Monitoring, adoption and optimization - Version control and maintenance - Deployment: sandbox to production |
| AI Agents | 35% | - Deterministic controls: filters and variables - Agent types: Service, Sales, Employee - Channel integration: digital experience, email, Slack - Agent User security and permissions - Agent architecture and reasoning engine - Topics and actions configuration |
| Prompt Engineering | 20% | - Prompt template creation: field generation, flex types - Grounding techniques and best practices - Prompt Builder usage and use cases - Prompt management and user roles |
| Multi-Agent Interoperability | 5% | - Agent API usage scenarios - Agent-to-agent communication - Model Context Protocol (MCP) |
Salesforce Certified Agentforce Specialist Sample Questions:
Question 1
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. AI Audit and Feedback Data dashboard.
B. Agent Event Logs dashboard.
C. User Utterances dashboard.
Question 2
Universal Containers (UC) wants to empower its marketing team with Al capabilities that help employees quickly find campaign data, generate creative content, and manage project tasks. The solution should also allow marketers to receive personalized support, surface relevant information, and complete work directly in Salesforce. Which Al solution should UC implement?
A. Service Agent
B. Sales Coach Agent
C. Employee Agent
Question 3
Which statement explains why a company might prefer a hybrid search index in Data Cloud for Agentforce?
A. Hybrid search indexes process queries faster than vector search because they eliminate the need for semantic embedding.
B. Hybrid search indexes support both literal keyword matches and semantic recall, useful when queries mix specific terms and intent.
C. Vector embedding in hybrid search are prefiltered by keyword matches, reducing computational overhead and improving response accuracy.
Question 4
A Salesforce Administrator is exploring the capabilities of Agent to enhance user interaction within their organization. They are particularly interested in how Agent processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Agent directly interfaces with a large language model (LLM) to fetch and display responses to user inquiries, facilitating a broad range of requests from users. How does Agent handle user requests In Salesforce?
A. Agent will trigger a flow that utilizes a prompt template to generate the message.
B. Agent analyzes the user's request and LLM technology is used to generate and display the appropriate response.
C. Agent will perform an HTTP callout to an LLM provider.
Question 5
Universal Containers has seen a high adoption rate of a new feature that uses generative AI to populate a summary field of a custom object, Competitor Analysis. All sales users have the same profile but one user cannot see the generative AlI-enabled field icon next to the summary field.
What is the most likely cause of the issue?
A. The user does not have the field Generative AI User permission set assigned.
B. The user does not have the Prompt Template User permission set assigned.
C. The prompt template associated with summary field is not activated for that user.
Solutions:
| Question 1 Answer: C | Question 2 Answer: C | Question 3 Answer: B | Question 4 Answer: B | Question 5 Answer: A |
