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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Agent Force Concepts	30%	- Data Cloud & Grounding Techniques 1. Real-world applications - Einstein GPT Integration 1. Advanced implementation strategies
Reasoning Engine & AI Actions		- Workflow mastery 1. Custom Agent actions (Apex) 2. Standard Agent actions 3. Custom Agent actions (Flows)
Einstein Trust Layer & Security		- Trust Layer & Security Features 1. Enterprise-grade deployment - Data Masking 1. Configuration of privacy data entities
Prompt Engineering	30%	- Prompt Builder & Template Creation 1. Best practices - Agentforce AI Setup & Configuration 1. Advanced implementation strategies

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Salesforce Certified Agentforce Specialist Sample Questions (Q292-Q297):

NEW QUESTION # 292
Universal Containers (UC) needs to create a custom prompt template that can be called from a Lightning web component. Which prompt template type should UC create?

A. Sales Email
B. Flex
C. Field Generation

Answer: B

Explanation:
The AgentForce Developer Integration Guide specifies that Flex prompt templates are the correct type for custom or embedded integrations, such as invoking a prompt from a Lightning Web Component (LWC).
Flex templates are designed for general-purpose use cases and can be called programmatically via Apex, Flow, or LWC APIs. They offer flexible input and output structures, allowing developers to integrate AgentForce reasoning into custom applications and UI components.

NEW QUESTION # 293
Universal Containers (UC) plans to automatically populate the Description field on the Account object. Which type of prompt template should UC use?

A. Field Generation prompt template
B. Sales Email prompt template
C. Flex Prompt template

Answer: A

Explanation:
Universal Containers (UC) wants to automatically populate the Description field on the Account object. The AI-driven solution must generate textual data and write it directly into a field.
Field Generation Prompt Template
Primary Use Case: A Field Generation prompt template is specifically designed to create or fill in fields on a record with AI-generated text.
Auto-population: By configuring a Field Generation prompt template, admins can define the instructions, data inputs, and desired output for the AI. The resulting text then populates the specified field, such as the Account Description.

NEW QUESTION # 294
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. 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.
B. The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.
C. The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.

Answer: C

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 # 295
Universal Containers tests out a new Einstein Generative AI feature for its sales team to create personalized and contextualized emails for its customers. Sometimes, users find that the draft email contains placeholders for attributes that could have been derived from the recipient's contact record. What is the most likely explanation for why the draft email shows these placeholders?

A. The user's locale language is not supported by Prompt Builder.
B. The user does not have Einstein Sales Emails permission assigned.
C. The user does not have permission to access the fields.

Answer: C

Explanation:
UC is using an Einstein Generative AI feature (likely Einstein Sales Emails) to draft personalized emails, but placeholders (e.g., {!Contact.FirstName}) appear instead of actual data from the contact record.

NEW QUESTION # 296
Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing auto launched flow to query the information from Oracle ERP, which is the system of record for the order fulfillment process. How should An Agentforce apply the power of conversational AI to this use case?

A. Create a Flex prompt template in Prompt Builder.
B. Create a custom copilot action which calls a flow.
C. Configure the Integration Flow Standard Action in Agent.

Answer: B

Explanation:
To enable Universal Containers service agents to query the current fulfillment status of an order using natural language and leverage an existing auto-launched flow that queries Oracle ERP, the best solution is to create a custom copilot action that calls the flow. This action will allow Agent to interact with the flow and retrieve the required order fulfillment information seamlessly. Custom copilot actions can be tailored to call various backend systems or flows in response to user requests.

NEW QUESTION # 297
......

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