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Salesforce Agentforce-Specialist Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Agentforce Specialist (AI-201)
Exam Number:AI-201
Real Exam Qty:60 multiple-choice questions + up to 5 unscored questions
Exam Format:Multiple Choice, Scenario-based Questions, Multiple Select
Available Languages:French, English, Japanese
Related Certifications:Salesforce AI Specialist (retired)
Salesforce Platform Administrator
Salesforce AI Associate (retired)
Salesforce Platform App Builder
Exam Duration:105 minutes
Passing Score:72%-73%
Exam Price:USD 200
Recommended Training:Agentforce Specialist Exam Prep
Salesforce Trailhead Agentforce Learning Paths
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
  • 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 2
  • Development Lifecycle: This area addresses testing agents in Testing Center, deploying from sandbox to production, and managing agent adoption and monitoring.
Topic 3
  • 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 4
  • Multi-Agent Interoperability: This domain explains Model Context Protocol (MCP), agent-to-agent communication, and when to use Agent API for system interactions.
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 (Q304-Q309):

NEW QUESTION # 304
Universal Containers plans to enable Agentforce in Slack so teams can interact with agents directly in Slack channels.
Which description represents the key steps required to enable Agentforce in Slack?

Answer: B

Explanation:
The AgentForce for Slack Deployment Guide outlines the exact process for enabling AgentForce in Slack.
The steps include:
Configuring the Slack agent connection to link Salesforce with the Slack workspace.
Installing the agent in the "Manage AgentForce" section.
Assigning agent access to specific Slack users or channels.
The documentation notes: "Administrators must first establish a Slack connection through Salesforce setup, then deploy the AgentForce app to the desired workspace. User permissions are managed in the Manage AgentForce console." Option A is incorrect because there is no "default Slack channel AgentForce." Option B refers to Slack workflows, which are unrelated to direct agent configuration.
Therefore, Option C accurately describes the official Salesforce method for enabling AgentForce in Slack.
References (AgentForce Documents / Study Guide):
AgentForce for Slack Integration Guide: "Steps to Connect and Deploy Agents" Salesforce Setup for AgentForce Collaboration Platforms AgentForce Study Guide: "Configuring Slack Agent Connections and User Access"


NEW QUESTION # 305
A service agent is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related with this itinerary. The service agent needs to review the Knowledge articles about canceling and rebooking the customer flights.
Which Agent capability helps the agent accomplish this?

Answer: A

Explanation:
In this scenario, the Agent capability that best helps the agent is its ability to execute tasks based on available actions and answer questions using data from Knowledge articles. Agent can assist the service agent by providing relevant Knowledge articles on canceling and rebooking flights, ensuring that the agent has access to the correct steps and procedures directly within the workflow.
This feature leverages the agent's existing context (the travel itinerary) and provides actionable insights or next steps from the relevant Knowledge articles to help the agent quickly resolve the customer's needs.
The other options are incorrect:
B refers to invoking a flow to create a Knowledge article, which is unrelated to the task of retrieving existing Knowledge articles.
C focuses on generating Knowledge articles, which is not the immediate need for this situation where the agent requires guidance on existing procedures.
Salesforce Documentation on Agent
Trailhead Module on Einstein for Service


NEW QUESTION # 306
Choose 1 option.
Universal Containers (UC) plans to answer questions based on similar cases that have been successfully resolved in the past.
What should UC consider when implementing this approach?

Answer: B

Explanation:
According to the AgentForce Data Configuration and Retrieval Guide, when an organization like Universal Containers wants to enable its AI agent to answer questions using historical case data, the correct implementation is to create an Unstructured Data Model Object (UDMO) based on the Case object, then index that data for retrieval.
The documentation clearly explains:
"When using previous case records to power AI-driven Q&A or similarity-based retrieval, create a UDMO mapped to the Case object. UDMOs allow the system to process and semantically index unstructured text fields such as Case Description, Resolution, and Comments, enabling the LLM to surface contextually similar resolved cases." This allows the AgentForce retrieval engine to perform semantic searches across historical support data, returning cases that are most contextually relevant to the user's query.
Option A is incorrect because past cases cannot be used automatically without indexing them.
Option B is incorrect because a DMO is for structured data (tables, numeric fields) and doesn't support semantic text retrieval.
Therefore, Option C is correct and aligns fully with Salesforce's documented best practices.
References (AgentForce Documents / Study Guide):
AgentForce Data Configuration Guide: "Using UDMOs for Case-Based Reasoning" AgentForce Implementation Handbook: "Indexing Historical Case Records for Semantic Search" AgentForce Study Guide: "Creating Unstructured Data Model Objects from Case Objects"


NEW QUESTION # 307
Universal Containers (UC) wants to enable its sales team to get insights into product and competitor names mentioned during calls. How should UC meet this requirement?

Answer: C

Explanation:
UC wants insights into product and competitor mentions during sales calls, leveraging Einstein Conversation Insights. Let's evaluate the options.
* Option A: Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.Einstein Conversation Insights analyzes call recordings to identify keywords like product and competitor names. Setup requires enabling the feature, connecting an external recording provider (e.g., Zoom, Gong), assigning permission sets (e.g., Einstein Conversation Insights User), and customizing insights by defining up to
25 products or competitors to track. Salesforce documentation confirms the 25-item limit for custom keywords, making this the correct, precise answer aligning with UC's needs.
* Option B: Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.There's no "recording managers" role in Einstein Conversation Insights setup-integration is with a provider, not a manager designation.
The limit is 25 keywords (not 50), and the option omits the critical step of connecting a provider, making it incorrect.
* Option C: Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products."Enable sales recording" is vague-Conversation Insights relies on external providers, not a native Salesforce recording feature. The keyword limit is 25, not 50, making this incorrect despite being closer than B.
Why Option A is Correct:
Option A accurately reflects the setup process and limits for Einstein Conversation Insights, meeting UC's requirement per Salesforce documentation.
References:
Salesforce Help: Set Up Einstein Conversation Insights - Details provider connection and 25-keyword limit.
Trailhead: Einstein Conversation Insights Basics - Covers permissions and customization.
Salesforce Agentforce Documentation: Sales Features - Confirms integration steps.


NEW QUESTION # 308
Universal Containers (UC) uses Salesforce Service Cloud to support its customers and agents handling cases.
UC is considering implementing Agent and extending Service Cloud to mobile users.
When would Agent implementation be most advantageous?

Answer: C

Explanation:
Agent implementation would be most advantageous in Salesforce Service Cloud when the goal is to streamline customer support processes and improve response times. Agent can assist agents by providing real-time suggestions, automating repetitive tasks, and generating contextual responses, thus enhancing service efficiency.
* Option B (data security) is not the primary focus of Agent, which is more about improving operational efficiency.
* Option C (marketing campaigns) falls outside the scope of Service Cloud and Agent's primary benefits, which are aimed at improving customer service and case management.
For further reading, refer to Salesforce documentation on Agent for Service Cloud and how it improves support processes.


NEW QUESTION # 309
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