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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Agent Force Concepts	30%	- Einstein GPT Integration 1. Advanced implementation strategies - Data Cloud & Grounding Techniques 1. Real-world applications
Prompt Engineering	30%	- 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 (Flows) 2. Custom Agent actions (Apex) 3. Standard Agent actions

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Salesforce Certified Agentforce Specialist Sample Questions (Q114-Q119):

NEW QUESTION # 114
Universal Containers is indexing millions of product manuals where users may ask both structured queries (model numbers) and natural language questions (for example, "How do I reset my device?"). Which retrieval approach should the company use?

A. Use hybrid search to combine keyword precision with semantic flexibility.
B. Use keyword search only, since model numbers dominate queries.
C. Use semantic search only, as natural language is always preferred.

Answer: A

Explanation:
According to the AgentForce Retrieval Optimization Guide, when users ask both structured (exact) and unstructured (natural language) questions, the best practice is to use hybrid search.
The documentation states:
"Hybrid search combines the precision of keyword retrieval for structured terms, such as IDs or model numbers, with the semantic flexibility of vector search for natural language queries. This approach ensures both deterministic accuracy and contextual understanding."

NEW QUESTION # 115
An administrator at Universal Containers has successfully deployed a new agent from a sandbox to production using a change set. The agent uses a prompt template that invokes a Salesforce flow to perform a complex calculation. In production, when users interact with the agent, it fails with an error message every time the flow is supposed to run. The flow was included in the change set and is present in production. What is the most likely cause of this issue?

A. The flow was not manually activated in the production org after the deployment.
B. The change set did not include the dependent Apex classes for the flow.
C. The user in production does not have permission to run the flow.

Answer: A

Explanation:
Per the AgentForce Deployment and Flow Integration Guide, when deploying flows via change sets, the flows arrive in the production org in "inactive" status by default. The administrator must manually activate the flow post-deployment before it can be executed by agents or users.
This explains why the agent encounters an error when attempting to run the flow--the system recognizes the flow but cannot invoke it because it remains inactive.

NEW QUESTION # 116
What is the role of the large language model (LLM) in executing an Agent Action?

A. Determine a user's access and sort actions by priority to be executed
B. Identify the best matching actions and correct order of execution
C. Find similar requests and provide actions that need to be executed

Answer: B

Explanation:
In Agent, the role of the Large Language Model (LLM) is to analyze user inputs and identify the best matching actions that need to be executed. It uses natural language understanding to break down the user's request and determine the correct sequence of actions that should be performed.
By doing so, the LLM ensures that the tasks and actions executed are contextually relevant and are performed in the proper order. This process provides a seamless, AI-enhanced experience for users by matching their requests to predefined Salesforce actions or flows.

NEW QUESTION # 117
Universal Containers (UC) plans to implement prompt templates that utilize the standard foundation models. What should UC consider when building prompt templates in Prompt Builder?

A. Include multiple-choice questions within the prompt to test the LLM's understanding of the context.
B. Ask it to role-play as a character in the prompt template to provide more context to the LLM.
C. Train LLM with data using different writing styles including word choice, intensifiers, emojis, and punctuation.

Answer: B

Explanation:
UC is using Prompt Builder with standard foundation models (e.g., via Atlas Reasoning Engine).

NEW QUESTION # 118
Before deploying an Agentforce agent to production, which step is MOST critical?

A. Increase API limits
B. Test with real-world scenarios and monitor outputs
C. Grant admin permissions
D. Disable debug logs

Answer: B

Explanation:
Testing with real scenarios and monitoring outputs ensures accuracy, safety, and business alignment.

NEW QUESTION # 119
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