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Salesforce AI-201 Exam Syllabus Topics:

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

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Salesforce Certified Agentforce Specialist Sample Questions (Q125-Q130):

NEW QUESTION # 125
An Agentforce Specialist is creating a custom agent action. The topic is selected correctly, but the action is not. Which setting should the Agentforce Specialist test and iterate on to ensure the action performs as expected?

A. Classification Description
B. Action Instructions
C. Action Scape

Answer: B

Explanation:
Per the AgentForce Custom Action Development Guide, if a topic is correctly triggered but the wrong action is executed, the issue typically lies in action instructions. The documentation notes:
"Action instructions provide the LLM with explicit guidance on when and how to use a given action. Poorly written or ambiguous instructions can cause the reasoning engine to select an incorrect action, even within the right topic."

NEW QUESTION # 126
Universal Containers has PDF maintenance guides in an external folder, not yet in Salesforce.
The team wants a standard, clicks-only setup for the Service Agent to use these documents.
Which approach should the Agentforce Specialist implement?

A. Paste external PDF links into topic instructions and rely on the model to follow them, avoiding configuration of a retrieval source, index, or retriever action.
B. Upload the PDFs as File source in the Agentforce Data Library which will build a Search Index, and create a retriever to ground responses from those documents.
C. Configure Data Cloud to ingest file attachments and create custom index and retriever for product record and attachment data.

Answer: B

Explanation:
According to the AgentForce Data Library and Retrieval Configuration Guide, when organizations have external PDF or text documents that need to be used by an AI agent, the recommended clicks-only approach is to upload the documents as a File Source in the AgentForce Data Library.
The system automatically processes the uploaded files, chunks their content, builds a Search Index, and allows you to create a retriever to ground agent responses from those indexed documents.
This method requires no code or manual integration and ensures that all document content becomes queryable through retrieval-augmented generation (RAG).

NEW QUESTION # 127
The marketing team at Universal Containers is looking for a way personalize emails based on customer behavior, preferences, and purchase history. Why should the team use Agent as the solution?

A. To send automated emails to all customers
B. To analyze past campaign performance
C. To generate relevant content when engaging with each customer

Answer: C

Explanation:
Agent is designed to assist in generating personalized, AI-driven content based on customer data such as behavior, preferences, and purchase history. For the marketing team at Universal Containers, this is the perfect solution to create dynamic and relevant email content. By leveraging Agent, they can ensure that each customer receives tailored communications, improving engagement and conversion rates.

NEW QUESTION # 128
What is the role of the large language model (LLM) in executing an Agent Action?

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

Answer: B

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 # 129
An Agentforce Specialist wants to troubleshoot their Agent's performance. Where should the Agentforce Specialist go to access all user interactions with the Agent, including Agent errors, incorrectly triggered actions, and incomplete plans?

A. Agent Settings
B. Event Logs
C. Plan Canvas

Answer: B

Explanation:
The Agentforce Specialist needs a comprehensive view of user interactions, errors, and action issues for troubleshooting.

NEW QUESTION # 130
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