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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Data Cloud for Agentforce20%- Retrievers and search types: keyword, vector, hybrid
- Agentforce Data Library types
- Improving response accuracy with data grounding
- Unstructured data processing: chunking, indexing
Development Lifecycle15%- Testing agents in Testing Center
- Monitoring, adoption and optimization
- Deployment: sandbox to production
- Version control and maintenance
AI Agents35%- Topics and actions configuration
- Channel integration: digital experience, email, Slack
- Deterministic controls: filters and variables
- Agent architecture and reasoning engine
- Agent types: Service, Sales, Employee
- Agent User security and permissions
Multi-Agent Interoperability5%- Agent API usage scenarios
- Model Context Protocol (MCP)
- Agent-to-agent communication
Prompt Engineering20%- Prompt management and user roles
- Grounding techniques and best practices
- Prompt Builder usage and use cases
- Prompt template creation: field generation, flex types

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Salesforce Certified Agentforce Specialist Sample Questions (Q14-Q19):

NEW QUESTION # 14
A company wants to retrieve patient history details to augment the AI agent response and plans to use the Data Cloud search index feature. What is best practice when considering retrieval- augmented generation (RAG) for information that may contain personally identifiable information (PII)?

Answer: B


NEW QUESTION # 15
Universal Containers has PDF maintenance guides in an external folder, not yet in Salesforce.
The team wants a standard, clicks-only setup for the Service Agent to use these documents.
Which approach should the Agentforce Specialist implement?

Answer: A

Explanation:
According to the AgentForce Data Library and Retrieval Configuration Guide, when organizations have external PDF or text documents that need to be used by an AI agent, the recommended clicks-only approach is to upload the documents as a File Source in the AgentForce Data Library.
The system automatically processes the uploaded files, chunks their content, builds a Search Index, and allows you to create a retriever to ground agent responses from those indexed documents.
This method requires no code or manual integration and ensures that all document content becomes queryable through retrieval-augmented generation (RAG).


NEW QUESTION # 16
Which scenario best demonstrates when an Agentforce Data Library is most useful for improving an AI agent's response accuracy?

Answer: C

Explanation:
The Agentforce Data Library enhances AI accuracy by grounding responses in curated, indexed data.


NEW QUESTION # 17
Universal Containers (UC) is setting up a new Agentforce Service Agent. The company has sensitive medical product research stored internally and wants to ensure the agent cannot access it. What should UC da?

Answer: C

Explanation:
The AgentForce Security and Access Control Best Practices Guide emphasizes the principle of least privilege, which means granting each agent only the permissions strictly necessary to perform its defined tasks.
To prevent unauthorized access to sensitive data such as medical research, administrators should exclude permissions for the Medical Product object and related records from the AgentForce Service Agent's permission set group. This approach ensures that even if the reasoning engine processes a related query, it cannot retrieve or expose data it lacks access to.


NEW QUESTION # 18
An administrator at Universal Containers has successfully deployed a new agent from a sandbox to production using a change set. The agent uses a prompt template that invokes a Salesforce flow to perform a complex calculation. In production, when users interact with the agent, it fails with an error message every time the flow is supposed to run. The flow was included in the change set and is present in production. What is the most likely cause of this issue?

Answer: C

Explanation:
Per the AgentForce Deployment and Flow Integration Guide, when deploying flows via change sets, the flows arrive in the production org in "inactive" status by default. The administrator must manually activate the flow post-deployment before it can be executed by agents or users.
This explains why the agent encounters an error when attempting to run the flow--the system recognizes the flow but cannot invoke it because it remains inactive.


NEW QUESTION # 19
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