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Salesforce AI-201 Exam Syllabus Topics:

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

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AI-201 Questions Answers & Exam AI-201 Objectives

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Salesforce Certified Agentforce Specialist Sample Questions (Q43-Q48):

NEW QUESTION # 43
Universal Containers (UC) wants to implement an AI-powered customer service agent that can:
- Retrieve proprietary policy documents that are stored as PDFs.
- Ensure responses are grounded in approved company data, not generic
LLM knowledge.
What should UC do first?

A. Add the files to the content, and then select the data library option.
B. Expand the AI agent's scope to search all Salesforce records.
C. Set up an Agentforce Data Library for AI retrieval of policy documents.

Answer: C

Explanation:
To implement an AI-powered customer service agent that retrieves proprietary policy documents (stored as PDFs) and ensures responses are grounded in approved company data, UC must first establish a foundation for the AI to access and use this data. The Agentforce Data Library (Option A) is the correct starting point. A Data Library allows UC to upload PDFs containing policy documents, index them into Salesforce Data Cloud's vector database, and make them available for AI retrieval. This setup ensures the agent can perform Retrieval-Augmented Generation (RAG), grounding its responses in the specific, approved content from the PDFs rather than relying on generic LLM knowledge, directly meeting UC's requirements.

NEW QUESTION # 44
Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level. In the score of 1 indicate?

A. The response is the least toxic Einstein Generative AI Toxicity Scoring system, what does a toxicity category.
B. The response is not toxic.
C. The response is the most toxic.

Answer: C

Explanation:
Einstein Trust Layer's Toxicity Scoring categorizes content on a scale of 0 to 1, where 1 indicates the highest level of toxicity (e.g., harmful, biased, or inappropriate language). This scoring helps organizations filter unsafe AI-generated content. A score of 1 triggers mitigation actions, such as blocking the response or alerting administrators.

NEW QUESTION # 45
Universal Containers (UC) wants to build an Agentforce Service Agent that provides the latest, active, and relevant policy and compliance information to customers. The agent must:
- Semantically search HR policies, compliance guidelines, and company
procedures.
- Ensure responses are grounded on published Knowledge.
- Allow Knowledge updates to be reflected immediately without manual
reconfiguration.
What should UC do to ensure the agent retrieves the right information?

A. Manually add policy responses into the AI model to prevent hallucinations.
B. Enable the agent to search all internal records and past customer inquiries.
C. Set up an Agentforce Data Library to store and index policy documents for AI retrieval.

Answer: C

Explanation:
UC requires an Agentforce Service Agent to deliver accurate, up-to-date policy and compliance info with specific criteria.

NEW QUESTION # 46
Universal Containers deploys a new Agentforce Service Agent into the company's website but is getting feedback that the Service Agent is not providing answers to customer questions that are found in the company's Salesforce Knowledge articles. What is the likely issue?

A. The Agentforce Service Agent user is not assigned the correct Agent Type License.
B. The Agentforce Service Agent user was not given the Allow View Knowledge permission set.
C. The Agentforce Service Agent user needs to be created under the standard Agent Knowledge profile.

Answer: B

Explanation:
According to the AgentForce Knowledge Integration and Access Configuration Guide, a Service Agent retrieves and grounds its responses using data from Salesforce Knowledge when the correct permissions are assigned. If customers report that the agent cannot access or provide answers from Knowledge articles, the most common root cause is that the AgentForce Service Agent user lacks the "Allow View Knowledge" permission.
This permission enables the agent to retrieve and read published articles from Salesforce Knowledge for grounding responses. Without it, the agent cannot access the content repository, resulting in incomplete or generic answers.

NEW QUESTION # 47
Universal Containers (UC) has configured a data library and wants to restrict indexing of knowledge articles to articles which are only publicly available in their knowledge base, UC also wants the agent to link sources that the large language model (LLM) grounded its response on.
Which settings should help UC with this?

A. In the data library setting window, under Knowledge Settings, enable Use Public Knowledge Article. It is not possible to display articles that the LLM grounded its response in.
B. Use Data Categories to categorize publicly available articles to index. Sources are automatically displayed when knowledge articles are categorized as Public.
C. In the data library setting window, under Knowledge Settings, enable Use Public Knowledge Article and select Show sources,

Answer: C

Explanation:
According to the AgentForce Data Library Configuration Guide, administrators can restrict indexing and retrieval of Knowledge articles to publicly available ones and enable source visibility for LLM-grounded responses. The documentation states:
"Within the data library settings, under Knowledge Settings, enable `Use Public Knowledge Articles' to ensure only publicly visible content is indexed. To display citations, enable `Show Sources' so the agent links the specific articles or data records used to ground its response."

NEW QUESTION # 48
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P.S. Free 2026 Salesforce AI-201 dumps are available on Google Drive shared by TorrentValid: https://drive.google.com/open?id=1L9MkHVA164TbvqCkNtCvxxv91rsmyJli