New AI-201 Questions Answers | Reliable AI-201 Exam Guide: Salesforce Certified Agentforce Specialist

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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Reasoning Engine & AI Actions		- Workflow mastery 1. Custom Agent actions (Apex) 2. Standard Agent actions 3. Custom Agent actions (Flows)
Topic 2: Agent Force Concepts	30%	- Data Cloud & Grounding Techniques 1. Real-world applications - Einstein GPT Integration 1. Advanced implementation strategies
Topic 3: Prompt Engineering	30%	- Agentforce AI Setup & Configuration 1. Advanced implementation strategies - Prompt Builder & Template Creation 1. Best practices
Topic 4: Einstein Trust Layer & Security		- Data Masking 1. Configuration of privacy data entities - Trust Layer & Security Features 1. Enterprise-grade deployment

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AI-201 Exam Guide & Latest AI-201 Exam Vce

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Salesforce Certified Agentforce Specialist Sample Questions (Q26-Q31):

NEW QUESTION # 26
What is the main purpose of Prompt Builder?

A. A tool for developers to use in Visual Studio Code that creates prompts for Apex programming, assisting developers in writing code more efficiently.
B. A tool within Salesforce offering real-time Al-powered suggestions and guidance to users, Improving productivity and decision-making.
C. A tool that enables companies to create reusable prompts for large language models (LLMs), bringing generative AI responses to their flow of work

Answer: C

Explanation:
Prompt Builder is designed to help organizations create and configure reusable prompts for large language models (LLMs). By integrating generative AI responses into workflows, Prompt Builder enables customization of AI prompts that interact with Salesforce data and automate complex processes. This tool is especially useful for creating tailored and consistent AI-generated content in various business contexts, including customer service and sales.

NEW QUESTION # 27
What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?

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

Answer: A

Explanation:
In Agentforce, the large language model (LLM), powered by the Atlas Reasoning Engine, interprets user requests and drives Agent Actions.

NEW QUESTION # 28
An Agentforce at Universal Containers is trying to set up a new Field Generation prompt template. They take the following steps.
1. Create a new Field Generation prompt template.
2. Choose Case as the object type.
3. Select the custom field AI_Analysis_c as the target field.
After creating the prompt template, the Agentforce Specialist saves, tests, and activates it.
Howsoever, when they go to a case record, the AI Analysis field does not show the (Sparkle) icon on the Edit pencil. When the Agentforce Specialist was editing the field, it was behaving as a normal field.
Which critical step did the Agentforce Specialist miss?

A. They forgot that the Case Object is not supported for Add generation as Feinstein Service Replies should be used instead.
B. They forgot to edit the Lightning page layout and associate the field to a prompt template
C. They forgot to reactivate the Lightning page layout for the Case object after activating their Field Generation prompt template.

Answer: B

Explanation:
For Field Generation prompt templates to display the Sparkle icon (indicating AI-generated content), the target field must be explicitly associated with the prompt template on the Lightning page layout. Even if the prompt template is activated, failing to add the field to the page layout and link it to the template will result in the field behaving as a standard field. Salesforce documentation emphasizes that page layout configuration is mandatory to enable AI-driven field interactions.

NEW QUESTION # 29
Universal Containers is very concerned about security compliance and wants to understand:
- Which prompt text is sent to the large language model (LLM)
- How it is masked
- The masked response
What should the Agentforce Specialist recommend?

A. Ingest the Einstein Shield Event logs into CRM Analytics.
B. Review the debug logs of the running user.
C. Enable audit trail in the Einstein Trust Layer.

Answer: C

Explanation:
To address security compliance concerns and provide visibility into the prompt text sent to the LLM, how it is masked, and the masked response, the Agentforce Specialist should recommend enabling the audit trail in the Einstein Trust Layer. This feature captures and logs the prompts sent to the large language model (LLM) along with the masking of sensitive information and the AI's response. This audit trail ensures full transparency and compliance with security requirements.

NEW QUESTION # 30
A Salesforce Administrator wants to generate personalized, targeted emails that incorporate customer interaction data. The admin wants to leverage large language models (LLMs) to write the emails, and wants to reuse templates for different products and customers. Which solution approach should the admin leverage?

A. Create a t field Generation prompt template type
B. Create a Sales Email prompt template type.
C. Use sales Email standard templates

Answer: B

Explanation:
To generate personalized emails using LLMs while reusing templates:
Sales Email Prompt Template Type (Option C): Designed specifically for generating dynamic email content by combining LLMs with structured templates. It allows admins to define placeholders (e.g., customer name, product details) and reuse templates across scenarios.

NEW QUESTION # 31
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