2026 Accurate Salesforce Dumps AI-201 Questions

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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Agent Force Concepts30%- Einstein GPT Integration
  • 1. Advanced implementation strategies
- Data Cloud & Grounding Techniques
  • 1. Real-world applications
Prompt Engineering30%- Agentforce AI Setup & Configuration
  • 1. Advanced implementation strategies
- Prompt Builder & Template Creation
  • 1. Best practices
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. Custom Agent actions (Flows)
  • 3. Standard Agent actions

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Salesforce Certified Agentforce Specialist Sample Questions (Q228-Q233):

NEW QUESTION # 228
An Agentforce Specialist is tasked with analyzing Agent interactions, looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the Agentforce Specialist to achieve this?

Answer: B

Explanation:
The task requires analyzing user inputs, requests, and queries to identify patterns and trends in Agentforce interactions.


NEW QUESTION # 229
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?

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 # 230
Which configuration must An Agentforce complete for users to access generative Al-enabled fields in the Salesforce mobile app?

Answer: A

Explanation:
Universal Containers (UC) has generative AI-enabled fields that users can access in the desktop experience.
The Agentforce Specialist needs these same fields to be visible and usable in the Salesforce Mobile App.


NEW QUESTION # 231
Universal Containers wants to keep retrieval accurate as product documentation changes frequently. Which approach should the company implement?

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
According to the official AgentForce implementation guidelines and RAG (Retrieval-Augmented Generation) architecture within Salesforce, maintaining retrieval accuracy depends on ensuring that embeddings and indexed content remain synchronized with the most recent data. When product documentation or knowledge base content changes, the underlying text used for vector embeddings must also be updated to reflect the new information.
The AgentForce documentation clearly specifies that when content is modified, the recommended practice is to rebuild the search index. This process regenerates the document chunks, re- embeds them using the latest model, and updates the index used by the retrieval system. This ensures that queries return the most current and relevant responses aligned with the updated content.


NEW QUESTION # 232
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?

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 # 233
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