Practice Salesforce AI-201 Exams Free | AI-201 Test Answers

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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 agent actions 2. Standard and custom topics
Prompt Engineering	20%	- Prompt Builder usage 1. Prompt templates and configuration 2. Field generation and flex templates - Grounding techniques 1. Data grounding for reducing hallucinations 2. Best practices for prompt design
Testing, Deployment & Lifecycle	15%	- Agent lifecycle management 1. Sandbox to production deployment 2. Testing and validation strategies
Governance & Observability	10%	- AI governance 1. Monitoring agent behavior 2. Trust layer and compliance concepts
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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Salesforce Certified Agentforce Specialist Sample Questions (Q14-Q19):

NEW QUESTION # 14
Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing autolaunched flow to query the Information from Oracle ERP, which is the system of record for the order fulfillment process. How should an Agentforce Specialist apply the power of conversational AI to this use case?

A. Configure the Integration Flow Standard Action in Agent Builder.
B. Create a Flex prompt template in Prompt Builder.
C. Create a custom Agent action which calls a flow.

Answer: C

Explanation:
Why is "Create a custom Agent action which calls a flow" the correct answer?
In Agentforce, the best way to allow service agents to query order fulfillment status from an external system (Oracle ERP) using natural language is to create a custom Agent action that invokes an existing autolaunched flow.
Key Considerations for This Approach:
Custom Agent Action Triggers the Flow
A custom Agent action is designed to call Salesforce flows, enabling external system integration.
The flow retrieves real-time fulfillment data from Oracle ERP and returns results to the agent.
Enables AI-Powered Query Execution
The Agent can understand natural language and map user utterances to the correct Agent action.
This ensures that agents receive accurate order fulfillment updates quickly.
No Need for Manual Data Entry
Instead of manually searching Oracle ERP, agents can query fulfillment status using AI-powered Agentforce workflows.

NEW QUESTION # 15
Universal Containers wants to systematically validate agent responses before deployment using a scalable testing process. Which Testing Center approach should the company implement?

A. Manually interact with the agent in Builder until responses seem correct.
B. Use pilot users in production to flag incorrect responses post-launch.
C. Upload a structured CSV test template and run batch test cases in Testing Center.

Answer: C

Explanation:
Per the AgentForce Testing Center Operations Guide, the batch testing feature allows organizations to upload structured CSV test templates containing real-world user utterances, expected classifications, and desired outcomes. Once uploaded, these test cases are executed in bulk within the Testing Center to validate agent accuracy, reasoning consistency, and grounding before activation.
This structured approach supports repeatable, scalable testing and ensures objective evaluation across multiple topics and scenarios.

NEW QUESTION # 16
Universal Containers' service team wants to customize the standard case summary response from Agentforce. What should the Agentforce Specialist do to achieve this?

A. Summarize the Case with a standard Agent action.
B. Customize the standard Record Summary template for the Case object.
C. Create a custom Record Summary prompt template for the Case object.

Answer: C

Explanation:
UC's service team seeks to customize the standard case summary response provided by Agentforce.

NEW QUESTION # 17
What is the correct process to leverage Prompt Builder in a Salesforce org?

A. Select the appropriate prompt template type to use, select one of Salesforce's standard prompts, determine the object to associate the prompt, select a record to validate against, and associate the prompt to an action.
B. Select the appropriate prompt template type to use, develop the prompt within the prompt workspace, select resources to dynamically insert CRM-derived grounding data, pick the model to use, and test and validate the generated responses.
C. Enable the target object for generative prompting, develop the prompt within the prompt workspace, select records to fine-tune and ground the response, enable the Trust Layer, and associate the prompt to an action.

Answer: B

Explanation:
When using Prompt Builder in a Salesforce org, the correct process involves several important steps:
Select the appropriate prompt template type based on the use case.
Develop the prompt within the prompt workspace, where the template is created and customized.
Select CRM-derived grounding data to be dynamically inserted into the prompt, ensuring that the AI-generated responses are based on accurate and relevant data.
Pick the model to use for generating responses, either using Salesforce's built-in models or custom ones.
Test and validate the generated responses to ensure accuracy and effectiveness.

NEW QUESTION # 18
Universal Containers recently launched a pilot program to integrate conversational AI into its CRM business operations with Agentforce Agents. How should the Agentforce Specialist monitor Agents' usability and the assignment of actions?

A. Run Agent Analytics.
B. Run a report on the Platform Debug Logs.
C. Query the Agent log data using the Metadata API.

Answer: A

Explanation:
Monitoring the usability and action assignments of Agentforce Agents requires insights into how agents perform, how users interact with them, and how actions are executed within conversations. Salesforce provides Agent Analytics (Option C) as a built-in capability specifically designed for this purpose. Agent Analytics offers dashboards and reports that track metrics such as agent response times, user satisfaction, action invocation frequency, and success rates. This tool allows the Agentforce Specialist to assess usability (e.g., are agents meeting user needs?) and monitor action assignments (e.g., which actions are triggered and how often), providing actionable data to optimize the pilot program.

NEW QUESTION # 19
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