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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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 2: Testing, Deployment & Lifecycle	15%	- Agent lifecycle management 1. Sandbox to production deployment 2. Testing and validation strategies
Topic 3: Governance & Observability	10%	- AI governance 1. Monitoring agent behavior 2. Trust layer and compliance concepts
Topic 4: 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 5: Data Cloud & Grounding	20%	- Data integration for AI agents 1. Connecting external data sources 2. Using Data Cloud for retrieval augmentation

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Salesforce Certified Agentforce Specialist Sample Questions (Q312-Q317):

NEW QUESTION # 312
Universal Containers has a new AI project. What should An Agentforce consider when adding a related list on the Account object to be used in the prompt template?

A. After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.
B. The fields for the related list are based on the default page layout of the Account for the current user.
C. Prompt Builder must be used to assign the fields from the related list as a JSON format.

Answer: A

Explanation:
Universal Containers (UC) wants to include details from a related list on the Account object in a prompt template. This is typically done via Prompt Builder in Salesforce's generative AI setup.
Prompt Builder Behavior
Selecting a Related List: Within Prompt Builder, you can navigate to the object (Account) and choose which related list (e.g., Contacts, Opportunities) you want to reference.
Field Picker: Once a related list is chosen, Prompt Builder provides a field picker interface, allowing you to select specific fields from that related list. These fields then become available for merge fields or dynamic insertion within your prompt.

NEW QUESTION # 313
Universal Containers' Agent Action includes several Apex classes for the new Agentforce Agent.
What is an important consideration when deploying Apex that is invoked by an Agent Action?

A. The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.
B. The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.
C. Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.

Answer: B

Explanation:
Universal Containers (UC) is using Apex classes within an Agent Action for their Agentforce Agent. Deploying Apex in Salesforce has specific requirements, especially when tied to Agentforce functionality.

NEW QUESTION # 314
What is the role of the large language model (LLM) in executing an Agent Action?

A. Identify the best matching actions and correct order of execution
B. Find similar requests and provide actions that need to be executed
C. Determine a user's access and sort actions by priority to be executed

Answer: A

Explanation:
In Agent, the role of the Large Language Model (LLM) is to analyze user inputs and identify the best matching actions that need to be executed. It uses natural language understanding to break down the user's request and determine the correct sequence of actions that should be performed.
By doing so, the LLM ensures that the tasks and actions executed are contextually relevant and are performed in the proper order. This process provides a seamless, AI-enhanced experience for users by matching their requests to predefined Salesforce actions or flows.

NEW QUESTION # 315
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. Data Cloud Admin and Prompt Template Manager
B. Prompt Template Manager and Prompt Template User
C. Prompt Template User and Data Cloud Admin

Answer: A

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 # 316
Universal Containers deployed the new Agentforce Sales Development Representative (SDR) Into production, but sales reps are saying they can't find it. What is causing this issue?

A. Sales rep users do not have access to the SDR Agent object.
B. Sales rep users are missing the Use SDR Agent permission set.
C. Sales rep users profiles are missing the Allow SDR Agent permission.

Answer: B

Explanation:
Why is "Sales rep users are missing the Use SDR Agent permission set" the correct answer?
If sales reps are unable to find the Agentforce Sales Development Representative (SDR) Agent, the most likely cause is missing permissions. The "Use SDR Agent" permission set is required for users to access and interact with the SDR Agent in Agentforce.
Key Considerations for This Issue:
Permission Set Restriction
Users must have the "Use SDR Agent" permission set to access Agentforce SDR in their Salesforce environment.
If they lack this permission, the SDR Agent will not appear in their interface.
Agentforce Role-Based Access Control
Agentforce assigns specific permissions based on user roles.
Sales reps require explicit permission to access the SDR Agent.
Fixing the Issue
The Salesforce Admin should assign the "Use SDR Agent" permission set to all relevant sales reps.
This is done in Setup Permission Sets Assign to Users.

NEW QUESTION # 317
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