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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Cloud & Grounding	20%	- Data integration for AI agents 1. Using Data Cloud for retrieval augmentation 2. Connecting external data sources
Topic 2: Governance & Observability	10%	- AI governance 1. Trust layer and compliance concepts 2. Monitoring agent behavior
Topic 3: AI Agents	35%	- Agent setup and orchestration 1. Standard and custom agent actions 2. Standard and custom topics - Agent behavior configuration 1. Filters and variables for deterministic behavior 2. Agent reasoning engine concepts
Topic 4: Prompt Engineering	20%	- Prompt Builder usage 1. Field generation and flex templates 2. Prompt templates and configuration - Grounding techniques 1. Data grounding for reducing hallucinations 2. Best practices for prompt design
Topic 5: Testing, Deployment & Lifecycle	15%	- Agent lifecycle management 1. Sandbox to production deployment 2. Testing and validation strategies

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Salesforce Certified Agentforce Specialist Sample Questions (Q39-Q44):

NEW QUESTION # 39
Universal Containers (UC) is rolling out an AI-powered support assistant to help customer service agents quickly retrieve relevant troubleshooting steps and policy guidelines. The assistant relies on a search index in Data Cloud that contains product manuals, policy documents, and past case resolutions. During testing, UC notices that agents are receiving too many irrelevant results from older product versions that no longer apply. How should UC address this issue?

A. Use the default retriever, as it already searches the entire search index and provides broad coverage.
B. Modify the search index to only store documents from the last year and remove older records.
C. Create a custom retriever in Einstein Studio, and apply filters for publication date and product line.

Answer: A

Explanation:
UC's support assistant uses a Data Cloud search index for grounding, but irrelevant results from outdated product versions are an issue.

NEW QUESTION # 40
Universal Containers (UC) would like to implement the Sales Development Representative (SDR) Agent. Which channel consideration should UC be aware of while implementing it?

A. SDR Agent must be deployed in the Messaging channel.
B. SDR Agent must also be deployed on the company website.
C. SDR Agent only works in the Email channel.

Answer: A

Explanation:
Universal Containers (UC) is implementing the Agentforce Sales Development Representative (SDR) Agent, a prebuilt AI agent designed to qualify leads and schedule meetings. Channel considerations are critical for deployment.

NEW QUESTION # 41
Universal Containers (UC) wants to build an Agentforce Service Agent that provides the latest, active, and relevant policy and compliance information to customers. The agent must:
- Semantically search HR policies, compliance guidelines, and company
procedures.
- Ensure responses are grounded on published Knowledge.
- Allow Knowledge updates to be reflected immediately without manual
reconfiguration.
What should UC do to ensure the agent retrieves the right information?

A. Manually add policy responses into the AI model to prevent hallucinations.
B. Set up an Agentforce Data Library to store and index policy documents for AI retrieval.
C. Enable the agent to search all internal records and past customer inquiries.

Answer: B

Explanation:
UC requires an Agentforce Service Agent to deliver accurate, up-to-date policy and compliance info with specific criteria.

NEW QUESTION # 42
Universal Containers implemented Agentforce for its users. One user complains that an Agent is not deleting activities from the past 7 days. What is the reason for this issue?

A. Agentforce does not have the permission to delete the user's records.
B. Agentforce does not have a standard Delete Record action.
C. Agentforce Delete Record Action permission is not associated to the user.

Answer: B

Explanation:
Universal Containers (UC) uses Agentforce, a specialized AI-driven assistant for Salesforce. A user reports that an Agent is unable to delete recent activities.
Why Agentforce Cannot Delete Records
Agentforce's Standard Actions: Agentforce typically has predefined or "standard" actions like Create, Update, or Summarize records. However, a standard Delete Record action is not part of the default set of Agentforce actions.
Implication: If Agentforce has no built-in delete functionality, it cannot remove activities-even if the user has permission to delete them in the Salesforce UI.

NEW QUESTION # 43
Coral Cloud Resorts is uploading thousands of new HTML knowledge articles files for a resort launch. To ensure Agentforce retrieves accurate responses quickly, which chunking strategy should be used when creating a new index?

A. Conversation-based chunking
B. Semantic-based passage extraction
C. Section-aware chunking

Answer: C

Explanation:
In AgentForce documentation on Knowledge Indexing and Chunking Strategies, Salesforce emphasizes that when uploading large volumes of structured content such as HTML or documentation files, the system should use section-aware chunking. The guide states: "Section- aware chunking preserves the logical boundaries of headings, paragraphs, and sub-sections in structured documents like HTML or PDF files, allowing the agent to retrieve contextually accurate and relevant responses quickly." This method ensures that the agent does not split content mid-section or lose contextual relationships between headings and body text. It enhances both retrieval speed and answer precision.

NEW QUESTION # 44
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