Salesforce Agentforce-Specialist Exam Sample - Agentforce-Specialist Latest Test Questions

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Salesforce Agentforce-Specialist Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Agentforce Specialist (AI-201)
Exam Number:AI-201
Related Certifications:Salesforce AI Specialist (retired)
Salesforce Platform Administrator
Salesforce AI Associate (retired)
Salesforce Platform App Builder
Exam Price:USD 200
Real Exam Qty:60 multiple-choice questions + up to 5 unscored questions
Passing Score:72%-73%
Exam Duration:105 minutes
Exam Format:Multiple Choice, Scenario-based Questions, Multiple Select
Available Languages:English, French, Japanese
Recommended Training:Salesforce Trailhead Agentforce Learning Paths
Agentforce Specialist Exam Prep
Exam Registration:Salesforce Certification Registration
Certification Exam Guide
Sample Questions:Salesforce Agentforce-Specialist Sample Questions
Exam Way:Online proctored or onsite testing center
Pre Condition:None
Official Syllabus URL:https://help.salesforce.com/s/articleView?id=005298924&type=1

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Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • Development Lifecycle: This area addresses testing agents in Testing Center, deploying from sandbox to production, and managing agent adoption and monitoring.
Topic 2
  • AI Agents: This domain covers configuring agent behavior, understanding the reasoning engine, selecting topics and actions for agent types, managing Agent User security, choosing appropriate agent types, and connecting agents to various channels.
Topic 3
  • Multi-Agent Interoperability: This domain explains Model Context Protocol (MCP), agent-to-agent communication, and when to use Agent API for system interactions.
Topic 4
  • Prompt Engineering: This section focuses on using Prompt Builder, managing user roles, creating prompt templates with field generation and flex types, selecting grounding techniques, and applying best practices for effective prompts.
Topic 5
  • Data Cloud for Agentforce: This domain covers Agentforce Data Library types, improving responses with unstructured data through chunking and indexing, understanding retrievers, and selecting keyword, vector, or hybrid search types.

Salesforce Certified Agentforce Specialist (AI-201) Sample Questions (Q17-Q22):

NEW QUESTION # 17
Universal Containers recently added a custom flow for processing returns and created a new Agent Action.
Which action should the company take to ensure the Agentforce Service Agent can run this new flow as part of the new Agent Action?

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:UC has created a custom flow for processing returns and linked it to a new Agent Action for the Agentforce Service Agent, an AI-driven agent for customer service tasks. The agent must have the ability to execute this flow. Let's assess the options.
* Option A: Recreate the flow using the Agentforce agent user.Flows are authored by admins or developers, not "recreated" by specific users like the Agentforce agent user (a system user for agent operations). The issue isn't the flow's creation context but its execution permissions. This option is impractical and incorrect.
* Option B: Assign the Manage Users permission to the Agentforce Agent user.The "Manage Users" permission allows user management (e.g., creating or editing users), which is unrelated to running flows. This permission is excessive and irrelevant for the Service Agent's needs, making it incorrect.
* Option C: Assign the Run Flows permission to the Agentforce Agent user.The Agentforce Service Agent operates under a dedicated system user (e.g., "Agentforce Agent User") with a specific profile or permission set. To execute a flow as part of an Agent Action, this user must have the "Run Flows" permission, either via its profile or a permission set (e.g., Agentforce Service Permissions). This ensures the agent can invoke the custom flow for processing returns, aligning with Salesforce's security model and Agentforce setup requirements. This is the correct answer.
Why Option C is Correct:Granting the "Run Flows" permission to the Agentforce Agent user is the standard, documented step to enable flow execution in Agent Actions, ensuring the Service Agent can process returns as intended.
References:
* Salesforce Agentforce Documentation: Agent Builder > Custom Actions- Requires "Run Flows" for flow-based actions.
* Trailhead: Set Up Agentforce Service Agents- Lists "Run Flows" in agent user permissions.
* Salesforce Help: Agentforce Security > Permissions- Confirms flow execution needs.


NEW QUESTION # 18
Universal Containers has developed an agent for loan origination workflows that must handle both non- determinism and strict regulatory compliance requirements. The agent needs to ensure that identity verification and credit check steps execute in a precise sequence without deviation.
Which statement correctly differentiates these two instruction patterns in Agent Script's hybrid reasoning approach?

Answer: C

Explanation:
The correct answer is B because Agent Script is built for hybrid reasoning: flexible LLM-driven conversation plus deterministic procedural control. Declarative prompt text gives the model guidance and conversational flexibility, but it does not guarantee that steps happen in an exact order. Procedural instructions are used when business-critical logic must execute reliably, such as identity verification before a credit check. Salesforce's Agent Script fundamentals describe the - > arrow as the signal for procedural logic and explain that conditionals, running actions, and setting variables belong in that deterministic logic path. The same guidance distinguishes procedural logic from prompt text assembled for the LLM. Option A is wrong because procedural instructions can run actions that connect to Flows, Apex, or APIs. Option C is a tooling distraction, not a reasoning-pattern distinction.


NEW QUESTION # 19
Universal Containers recently added a custom flow for processing returns and created a new Agent Action.
Which action should the company take to ensure the Agentforce Service Agent can run this new flow as part of the new Agent Action?

Answer: B

Explanation:
UC has created a custom flow for processing returns and linked it to a new Agent Action for the Agentforce Service Agent, an AI-driven agent for customer service tasks. The agent must have the ability to execute this flow. Let's assess the options.
Option A: Recreate the flow using the Agentforce agent user.Flows are authored by admins or developers, not
"recreated" by specific users like the Agentforce agent user (a system user for agent operations). The issue isn' t the flow's creation context but its execution permissions. This option is impractical and incorrect.
Option B: Assign the Manage Users permission to the Agentforce Agent user.The "Manage Users" permission allows user management (e.g., creating or editing users), which is unrelated to running flows. This permission is excessive and irrelevant for the Service Agent's needs, making it incorrect.
Option C: Assign the Run Flows permission to the Agentforce Agent user.The Agentforce Service Agent operates under a dedicated system user (e.g., "Agentforce Agent User") with a specific profile or permission set. To execute a flow as part of an Agent Action, this user must have the "Run Flows" permission, either via its profile or a permission set (e.g., Agentforce Service Permissions). This ensures the agent can invoke the custom flow for processing returns, aligning with Salesforce's security model and Agentforce setup requirements. This is the correct answer.
Why Option C is Correct:
Granting the "Run Flows" permission to the Agentforce Agent user is the standard, documented step to enable flow execution in Agent Actions, ensuring the Service Agent can process returns as intended.
References:
Salesforce Agentforce Documentation: Agent Builder > Custom Actions - Requires "Run Flows" for flow- based actions.
Trailhead: Set Up Agentforce Service Agents - Lists "Run Flows" in agent user permissions.
Salesforce Help: Agentforce Security > Permissions - Confirms flow execution needs.


NEW QUESTION # 20
An Agentforce turned on Einstein Generative AI in Setup. Now, the Agentforce Specialist would like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder in the Setup menu.
What is causing the problem?

Answer: B

Explanation:
In order to access and create custom prompt templates in Prompt Builder, the Agentforce Specialist must have the Prompt Template Manager permission set assigned. Without this permission, they will not be able to access Prompt Builder in the Setup menu, even though Einstein Generative AI is enabled.
Option B is correct because the Prompt Template Manager permission set is required to use Prompt Builder.
Option A (Prompt Template User permission set) is incorrect because this permission allows users to use prompts, but not create or manage them.
Option C (LLM configuration in Data Cloud) is unrelated to the ability to access Prompt Builder.
Salesforce Prompt Builder Permissions: https://help.salesforce.com/s/articleView?id=sf.
prompt_builder_permissions.htm


NEW QUESTION # 21
A customer wants to analyze complete agent interactions, from the initial user request through to the final resolution, to better understand agent behavior and response quality.
Which Agentforce feature should an Agentforce Specialist recommend?

Answer: C

Explanation:
Agent Inspection is the best fit because the requirement is to examine complete end-to-end agent interactions, not merely view aggregate performance trends or optimize unresolved sessions. The question specifically mentions tracing the interaction from the first user request through final resolution, which requires inspection-level visibility into what the agent interpreted, which subagent or action path it followed, and what response quality was produced. Agent Insights would imply summarized analytics, while Agent Optimization is more focused on identifying improvement opportunities after sessions are analyzed. Salesforce's Agentforce Session Tracing guidance explains that detailed interaction data is captured to provide a full view of agent behavior, which is exactly what this scenario requires.


NEW QUESTION # 22
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