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Salesforce AI-201 Exam Syllabus Topics:

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

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2026 AI-201: Salesforce Certified Agentforce Specialist Latest New Practice Questions

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Salesforce Certified Agentforce Specialist Sample Questions (Q21-Q26):

NEW QUESTION # 21
Universal Containers (UC) is rolling out an AI-powered support assistant to help customer service agents quickly retrieve relevant troubleshooting steps and policy guidelines. The assistant relies on a search index in Data Cloud that contains product manuals, policy documents, and past case resolutions. During testing, UC notices that agents are receiving too many irrelevant results from older product versions that no longer apply. How should UC address this issue?

A. Create a custom retriever in Einstein Studio, and apply filters for publication date and product line.
B. Modify the search index to only store documents from the last year and remove older records.
C. Use the default retriever, as it already searches the entire search index and provides broad coverage.

Answer: C

Explanation:
UC's support assistant uses a Data Cloud search index for grounding, but irrelevant results from outdated product versions are an issue.

NEW QUESTION # 22
In addition to Recipient and Sender, which object should An Agentforce utilize for inserting merge fields into a Sales email template prompt?

A. Recipient Opportunities
B. Recipient Account
C. User Organization

Answer: B

Explanation:
Sales Email Template Use Case:
When creating a Sales email template (especially for outreach or follow-up), you often need to reference relevant details about the Account linked to the recipient.
Standard Merge Fields in Salesforce Email Templates:
Recipient (Contact, Lead, or Person receiving the email)
Sender (User sending the email)
Recipient Account (the Account related to that Contact, providing company-level details and other relevant data) Why Recipient Account?
For Sales communications, referencing the Account data (e.g., Account name, industry, or other custom fields) in an email is very common.
This is especially important for B2B scenarios where the Contact is tied to an Account.
"Recipient Opportunities" could be multiple, so it's less direct for standard email merges. The
"User Organization" is more generic internal information, not typically inserted for personalization to the recipient.

NEW QUESTION # 23
After a successful implementation of Agentforce Sates Agent with sales users. Universal Containers now aims to deploy it to the service team. Which key consideration should the Agentforce Specialist keep in mind for this deployment?

A. Assign the standard service actions to Agentforce Service Agent.
B. Assign the Agentforce for Service permission to the Service Cloud users.
C. Review and test standard and custom Agent topics and actions for Service Center use cases.

Answer: C

Explanation:
When deploying Einstein Agent (formerly Agentforce) from Sales to Service Cloud:
Agent Topics and Actions are context-specific. Service Cloud use cases (e.g., case resolution, knowledge retrieval) require validation of existing topics/actions to ensure alignment with service workflows.

NEW QUESTION # 24
What is automatically created when a custom search index is created in Data Cloud?

A. A predefined Apex retriever class that can be edited by a developer to meet specific needs.
B. A dynamic retriever to allow runtime selection of retriever parameters without manual configuration.
C. A retriever that shares the name of the custom search index.

Answer: C

Explanation:
In Salesforce Data Cloud, a custom search index is created to enable efficient retrieval of data (e.g., documents, records) for AI-driven processes, such as grounding Agentforce responses.

NEW QUESTION # 25
Universal Containers needs to create Data Cloud reports to understand agent behavior. Which data lake object (DLO) represents an overarching container capturing contiguous interactions with one or more Al agents?

A. AlAgentInteractionMessage
B. AlAgentInteraction
C. AlAgentSession

Answer: C

Explanation:
Per the AgentForce Data Cloud Integration Guide, the AI Agent Session (AIAGENTSESSION) object represents an overarching container that tracks a continuous interaction between one or more AI agents and a user. The document describes: "AI Agent Session is the parent container for a contiguous set of AI Agent interactions. It captures metadata, start and end times, and the relationship to individual messages exchanged during the session."

NEW QUESTION # 26
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