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Salesforce AI-201 Exam Syllabus Topics:

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

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Salesforce Certified Agentforce Specialist Sample Questions (Q151-Q156):

NEW QUESTION # 151
Universal Containers' sales team engages in numerous video sales calls with prospects across the nation. Sales management wants an easy way to understand key information such as deal terms or customer sentiments. Which Einstein Generative AI feature should An Agentforce recommend for this request?

A. Einstein Conversation Insights
B. Einstein Video KPI
C. Einstein Call Summaries

Answer: A

Explanation:
Einstein Conversation Insights analyzes sales calls (including video and voice) to capture key moments, deal terms, competitor mentions, and customer sentiment. It helps sales management quickly understand what was discussed without manually reviewing the entire call.This feature ensures actionable insights are delivered directly into the Salesforce CRM, allowing sales managers to gain a concise overview without manually reviewing long recordings.

NEW QUESTION # 152
After a successful implementation of Agentforce Sates Agent with sales users. Universal Containers now aims to deploy it to the service team. Which key consideration should the Agentforce Specialist keep in mind for this deployment?

A. Review and test standard and custom Agent topics and actions for Service Center use cases.
B. Assign the standard service actions to Agentforce Service Agent.
C. Assign the Agentforce for Service permission to the Service Cloud users.

Answer: A

Explanation:
When deploying Einstein Agent (formerly Agentforce) from Sales to Service Cloud:
Agent Topics and Actions are context-specific. Service Cloud use cases (e.g., case resolution, knowledge retrieval) require validation of existing topics/actions to ensure alignment with service workflows.

NEW QUESTION # 153
What should An Agentforce consider when using related list merge fields in a prompt template associated with an Account object in Prompt Builder?

A. Prompt generation will yield no response when there is no related list associated with an Account in runtime.
B. The Activities related list on the Account object is not supported because it is a polymorphic field.
C. If person accounts have been enabled, merge fields will not be available for the Account object.

Answer: B

Explanation:
When using related list merge fields in a prompt template associated with the Account object in Prompt Builder, the Activities related list is not supported due to it being a polymorphic field.
Polymorphic fields can reference multiple different types of objects, which makes them incompatible with some merge field operations in prompt generation.

NEW QUESTION # 154
What is one key purpose of action instructions when creating a custom agent action in Agentforce?

A. Action instructions help the reasoning engine decide which action to use.
B. Action instructions tell the user how to call this action in a conversation.
C. Action instructions define the temperature of the large language model (LLM) powering the Reasoning Engine.

Answer: A

Explanation:
According to the AgentForce Action Design and Configuration Guide, action instructions serve as the directive text that informs the Reasoning Engine about when and how to invoke a specific action. The documentation states: "Action instructions guide the reasoning engine by describing the action's purpose, inputs, and when it should be selected. Clear, concise instructions improve the LLM's accuracy in mapping user intent to the correct action."

NEW QUESTION # 155
Universal Containers (UC) wants to improve the efficiency of addressing customer questions and reduce agent handling time with AI- generated responses. The agents should be able to leverage their existing knowledge base and identify whether the responses are coming from the large language model (LLM) or from Salesforce Knowledge. Which step should UC take to meet this requirement?

A. Turn on Service Replies, Service AI Grounding, and Grounding with Knowledge.
B. Turn on Service AI Grounding and Grounding with Knowledge.
C. Turn on Service AI Grounding, Grounding with Case, and Service Replies.

Answer: B

Explanation:
To meet Universal Containers' goal of improving efficiency and reducing agent handling time with AI-generated responses, the best approach is to enable Service Replies, Service AI Grounding, and Grounding with Knowledge.
Service Replies generates responses automatically.
Service AI Grounding ensures that the AI is using relevant case data.
Grounding with Knowledge ensures that responses are backed by Salesforce Knowledge articles, allowing agents to identify whether a response is coming from the LLM or Salesforce Knowledge.

NEW QUESTION # 156
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