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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
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 topics 2. Standard and custom agent actions
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. Using Data Cloud for retrieval augmentation 2. Connecting external data sources
Governance & Observability	10%	- AI governance 1. Monitoring agent behavior 2. Trust layer and compliance concepts
Prompt Engineering	20%	- Prompt Builder usage 1. Field generation and flex templates 2. Prompt templates and configuration - Grounding techniques 1. Best practices for prompt design 2. Data grounding for reducing hallucinations

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Salesforce Certified Agentforce Specialist Sample Questions (Q305-Q310):

NEW QUESTION # 305
An Agentforce Specialist wants to troubleshoot their Agent's performance. Where should the Agentforce Specialist go to access all user interactions with the Agent, including Agent errors, incorrectly triggered actions, and incomplete plans?

A. Agent Settings
B. Event Logs
C. Plan Canvas

Answer: B

Explanation:
The Agentforce Specialist needs a comprehensive view of user interactions, errors, and action issues for troubleshooting.

NEW QUESTION # 306
An Al Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI Specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the client. How should the Agentforce Specialist integrate the custom LLM into Salesforce?

A. Add the fine-tuned LLM in Einstein Studio Model Builder.
B. Create an application of the custom LLM and embed it in Sales Cloud via iFrame.
C. Enable model endpoint on OpenAl and make callouts to the model to generate emails.

Answer: A

Explanation:
Since security and data privacy are critical, the best option for the Agentforce Specialist is to integrate the fine-tuned LLM (Large Language Model) into Salesforce by adding it to Einstein Studio Model Builder. Einstein Studio allows organizations to bring their own AI models (BYOM), ensuring the model is securely managed within Salesforce's environment, adhering to data privacy standards.

NEW QUESTION # 307
Universal Containers (UC) is preparing to use the Agentforce Testing Center to ensure the reliability of a new agent. UC has a CSV file with test cases and is reviewing the documentation to understand best practices and limitations. Which best practice should the company follow to avoid modifying CRM data while running tests in the Testing Center?

A. Limit the number of test cases to 50 per test to minimize data changes.
B. Run tests in the production environment to ensure real-time data accuracy.
C. Use the Testing Center only in the sandbox environment.

Answer: C

Explanation:
According to the AgentForce Testing and Validation Guidelines, all automated or large-scale test runs in Testing Center should be executed in a sandbox environment to prevent any unintended modifications to live CRM data.
Running tests in production can trigger record updates, create cases, or call actions that alter live data, violating best practice standards for safe validation. Testing in a sandbox ensures the environment mirrors production logic while maintaining data isolation.

NEW QUESTION # 308
Universal Containers (UC) has configured an Agentforce Data Library using Knowledge articles.
When testing in Agent Builder and the Experience Cloud site, the agent is not responding with grounded Knowledge article information. However, when tested in Prompt Builder, the response returns correctly. What should UC do to troubleshoot the issue?

A. Ensure the Data Cloud User permission set has been assigned to the Agentforce Service Agent User.
B. Create a new permission set that assigns "Manage Knowledge" and assign it to the Agentforce Service Agent User.
C. Ensure the assigned User permission set includes access to the prompt template used to access the Knowledge articles.

Answer: A

Explanation:
UC has set up an Agentforce Data Library with Knowledge articles, and while Prompt Builder retrieves the data correctly, the agent fails to do so in Agent Builder and Experience Cloud.

NEW QUESTION # 309
Universal Containers wants to reduce overall customer support handling time by minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields. Which combination of Agentforce for Service features enables this effort?

A. Einstein Reply Recommendations and Case Classification
B. Einstein Reply Recommendations and Case Summaries
C. Einstein Service Replies and Work Summaries

Answer: B

Explanation:
Universal Containers (UC) aims to streamline customer support by addressing two goals:
reducing in-chat typing time for routine answers and minimizing post-chat analysis by auto- suggesting case field values. In Salesforce Agentforce for Service, Einstein Reply Recommendations and Case Classification (Option A) are the ideal combination to achieve this.
Einstein Reply Recommendations: This feature uses AI to suggest pre-formulated responses based on chat context, historical data, and Knowledge articles. By providing agents with ready-to- use replies for common questions, it significantly reduces the time spent typing routine answers, directly addressing UC's first goal.
Case Classification: This capability leverages AI to analyze case details (e.g., chat transcripts) and suggest values for case fields (e.g., Subject, Priority, Resolution) during or after the interaction. By automating field population, it reduces post-chat analysis time, fulfilling UC's second goal.

NEW QUESTION # 310
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