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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Governance & Observability	10%	- AI governance 1. Monitoring agent behavior 2. Trust layer and compliance concepts
Topic 2: AI Agents	35%	- Agent setup and orchestration 1. Standard and custom topics 2. Standard and custom agent actions - Agent behavior configuration 1. Agent reasoning engine concepts 2. Filters and variables for deterministic behavior
Topic 3: Prompt Engineering	20%	- Grounding techniques 1. Best practices for prompt design 2. Data grounding for reducing hallucinations - Prompt Builder usage 1. Prompt templates and configuration 2. Field generation and flex templates
Topic 4: Data Cloud & Grounding	20%	- Data integration for AI agents 1. Connecting external data sources 2. Using Data Cloud for retrieval augmentation
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 (Q102-Q107):

NEW QUESTION # 102
Universal Containers needs its sales reps to be able to only execute prompt templates. What should the company use to achieve this requirement?

A. Prompt Template User permission set
B. Prompt Execute Template permission set
C. Prompt Template Manager permission set

Answer: A

Explanation:
Salesforce Agentforce leverages Prompt Builder, a powerful tool that allows administrators to create and manage prompt templates, which are reusable frameworks for generating AI-driven responses. These templates can be invoked by users to perform specific tasks, such as generating sales emails or summarizing records, based on predefined instructions and grounded data. In this scenario, Universal Containers wants its sales reps to have the ability to only execute these prompt templates, meaning they should be able to run them but not create, edit, or manage them.

NEW QUESTION # 103
Universal Containers has a requirement to provide a sales summary for its sales reps who are using Employee Agents, but they are not happy with the default answer. Which best practice should the AgentForce Specialist recommend?

A. Update the standard record summary action.
B. Create a Knowledge Answer custom prompt template.
C. Create a Record Summary custom prompt template.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
According to the AgentForce Prompt Customization and Template Development Guide, when an organization wants to modify or enhance how structured data (like Salesforce records) is summarized or presented by an agent, the correct approach is to create a Record Summary custom prompt template.
Record Summary templates allow specialists to tailor how the agent interprets and communicates record information - such as opportunities, accounts, or sales summaries - ensuring the output aligns with company-specific terminology, tone, and data needs.

NEW QUESTION # 104
A data scientist needs to view and manage models in Einstein Studio, and also needs to create prompt templates in Prompt Builder. Which permission sets should an Agentforce Specialist assign to the data scientist?

A. Prompt Template User and Data Cloud Admin
B. Data Cloud Admin and Prompt Template Manager
C. Prompt Template Manager and Prompt Template User

Answer: B

Explanation:
The data scientist requires permissions for Einstein Studio (model management) and Prompt Builder (template creation). Note: "Einstein Studio" may be a misnomer for Data Cloud's model management or a related tool, but we'll interpret based on context.

NEW QUESTION # 105
How does Agentforce select the correct action to resolve a user's request?

A. The large language model (LLM) selects the right topic and action, if they exist. If there are no matches, the LLM attempts to answer the user's request.
B. Each topic contains a list of the matching action's user utterances so that the agent can map the user request to the right topic and action.
C. The reasoning engine identifies the agent action to be executed by its name and action input instructions.

Answer: A

Explanation:
In the AgentForce Architecture and Reasoning Engine Overview, Salesforce explains that the large language model (LLM) drives topic and action selection. The documentation states:
"AgentForce uses an LLM to interpret user intent, map it to existing topics, and trigger the appropriate action when available. If no matching topic or action is found, the LLM attempts to generate a direct response using its available context."

NEW QUESTION # 106
Universal Containers (UC) is using standard Service AI Grounding. UC created a custom rich text field to be used with Service AI Grounding. What should UC consider when using standard Service AI Grounding?

A. Service AI Grounding visibility works m system mode.
B. Service AI Grounding only supports String and Text Area type fields.
C. Service AI Grounding only works with Case and Knowledge objects.

Answer: B

Explanation:
Service AI Grounding retrieves data from Salesforce objects to ground AI-generated responses.
Key considerations:

NEW QUESTION # 107
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