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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt Engineering	20%	- Prompt Builder usage 1. Prompt templates and configuration 2. Field generation and flex templates - Grounding techniques 1. Data grounding for reducing hallucinations 2. Best practices for prompt design
Topic 2: AI Agents	35%	- Agent behavior configuration 1. Agent reasoning engine concepts 2. Filters and variables for deterministic behavior - Agent setup and orchestration 1. Standard and custom agent actions 2. Standard and custom topics
Topic 3: Data Cloud & Grounding	20%	- Data integration for AI agents 1. Using Data Cloud for retrieval augmentation 2. Connecting external data sources
Topic 4: Testing, Deployment & Lifecycle	15%	- Agent lifecycle management 1. Testing and validation strategies 2. Sandbox to production deployment
Topic 5: Governance & Observability	10%	- AI governance 1. Trust layer and compliance concepts 2. Monitoring agent behavior

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Salesforce Certified Agentforce Specialist Sample Questions (Q240-Q245):

NEW QUESTION # 240
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 Manager and Prompt Template User
B. Data Cloud Admin and Prompt Template Manager
C. Prompt Template User and Data Cloud Admin

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 # 241
What is the main purpose of Prompt Builder?

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

Answer: A

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 # 242
A support manager wants an agent to summarize cases but prevent it from exposing customer PII. Which feature directly addresses this requirement?

A. Case assignment rules
B. Field-level security
C. Einstein Trust Layer data masking
D. Prompt Builder

Answer: C

Explanation:
The Einstein Trust Layer can mask or exclude sensitive fields, preventing PII from being exposed in AI responses.

NEW QUESTION # 243
How does the AI Retriever function within Data Cloud?

A. It monitors and aggregates data quality metrics across various data pipelines to ensure only high- integrity data is used for strategic decision-making.
B. It automatically extracts and reformats raw data from diverse sources into standardized datasets for use in historical trend analysis and forecasting.
C. It performs contextual searches over an indexed repository to quickly fetch the most relevant documents, enabling grounding AI responses with trustworthy, verifiable information.

Answer: C

Explanation:
The AI Retriever is a key component in Salesforce Data Cloud, designed to support AI-driven processes like Agentforce by retrieving relevant data. Let's evaluate each option based on its documented functionality.

NEW QUESTION # 244
Universal Containers has a custom Agent action calling a flow to retrieve the real-time status of an order from the order fulfillment system. For the given flow, what should the Agentforce Specialist consider about the running user's data access?

A. The custom action adheres to the permissions, held-level security, and sharing settings configured in the flow.
B. The flow must have the "with sharing" permission selected m the advanced settings for the permissions, field-level security, and sharing settings to be respected.
C. The Agent will always run flows in system mode so the running user's data access will not affect the data returned.

Answer: A

Explanation:
When a flow is invoked via a custom Agent action, its data access depends on the flow's runtime configuration, not system mode by default. Salesforce flows can be configured to respect the running user's permissions and sharing settings:
If the flow is set to "Run as the User Who Launched the Flow" (enabled in Flow Settings), it adheres to the user's permissions, field-level security (FLS), and sharing rules.

NEW QUESTION # 245
......

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