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Salesforce Agentforce-Specialist Exam Overview:

Certification Vendor:	Salesforce
Exam Name:	Salesforce Certified Agentforce Specialist
Exam Number:	Agentforce-Specialist
Exam Duration:	105 minutes
Real Exam Qty:	60
Passing Score:	73%
Exam Format:	Multiple-choice, Multiple-select
Exam Price:	USD 200
Related Certifications:	Salesforce Certified AI Specialist (Legacy) Salesforce Certified AI Associate
Available Languages:	English
Sample Questions:	Salesforce Agentforce-Specialist Sample Questions
Exam Way:	Online (Proctored) or Testing Center
Pre Condition:	None
Official Syllabus URL:	https://trailhead.salesforce.com/help?article=Salesforce-Certified-Agentforce-Specialist-Exam-Guide

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Salesforce Agentforce-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	Multi-Agent Interoperability: This domain explains Model Context Protocol (MCP), agent-to-agent communication, and when to use Agent API for system interactions.
Topic 2	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.
Topic 3	Development Lifecycle: This area addresses testing agents in Testing Center, deploying from sandbox to production, and managing agent adoption and monitoring.
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	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.

Salesforce Certified Agentforce Specialist (AI-201) Sample Questions (Q138-Q143):

NEW QUESTION # 138
When a verified customer in a help center says, "I want to upgrade my service plan," an AI agent needs to complete the following tasks:
* Verify identity and entitlement.
* Create a new quote.
* Calculate a prorated upgrade amount.
* Escalate to an Account Executive (AE) only if the reorder exceeds USD 25,000.
Which type of agent should an AgentForce Specialist build to support this use case?

A. Sales Agent to handle the upsell and large-deal escalation
B. Service Agent to resolve the case end-to-end and create a new opportunity for the sales team
C. Employee Agent to orchestrate internal logistics and finance

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
According to the AgentForce Specialist Implementation Guide and Agent Type Configuration Reference, this scenario represents a revenue-generating interaction where the AI agent is directly handling an upsell process. The tasks include verifying the customer's entitlement, generating a new quote, and calculating a prorated amount - all of which align with the Sales Agent configuration type in AgentForce.
The Sales Agent is specifically designed to manage lead conversion, quoting, upselling, renewals, and escalation logic for higher-value opportunities. AgentForce documentation emphasizes that when an interaction involves quote generation, pricing calculations, or escalations to an Account Executive for large deal handling, the correct design is a Sales Agent.
In contrast, a Service Agent (Option A) is primarily used for resolving support cases, troubleshooting, and service request management, not for handling quote creation or pricing. Similarly, an Employee Agent (Option C) focuses on internal coordination tasks like HR or finance workflows, not customer-facing sales activities.
Therefore, based on the defined use case and AgentForce best practices, the correct agent type to implement is Option B - Sales Agent, as it is optimized for handling sales-driven customer interactions, quote management, and escalation thresholds.
Reference: AgentForce Specialist Guide - "Configuring Sales Agents for Upsell and Quote Management."

NEW QUESTION # 139
Choose 1 option.
Universal Containers has PDF maintenance guides in an external folder, not yet in Salesforce. The team wants a standard, clicks- only setup for the Service Agent to use these documents.
Which approach should the Agentforce Specialist implement?

A. Upload the PDFs as File source in the Agentforce Data Library which will build a Search Index, and create a retriever to ground responses from those documents.
B. Paste external PDF links into topic instructions and rely on the model to follow them, avoiding configuration of a retrieval source, index, or retriever action.
C. Configure Data Cloud to ingest file attachments and create custom index and retriever for product record and attachment data.

Answer: A

Explanation:
According to the AgentForce Data Library and Retrieval Configuration Guide, when organizations have external PDF or text documents that need to be used by an AI agent, the recommended clicks-only approach is to upload the documents as a File Source in the AgentForce Data Library. The system automatically processes the uploaded files, chunks their content, builds a Search Index, and allows you to create a retriever to ground agent responses from those indexed documents.
This method requires no code or manual integration and ensures that all document content becomes queryable through retrieval-augmented generation (RAG).
Option A is incorrect because LLMs cannot reliably access external links; they require indexed data. Option C, involving Data Cloud ingestion, is a more advanced, developer-level approach-not a clicks-only setup.
Hence, the correct implementation is Option B - Upload PDFs as File Source in the AgentForce Data Library and create a retriever for grounding.
Reference: AgentForce Data Library Setup Guide - "Uploading File Sources and Creating Search Indexes."

NEW QUESTION # 140
What is the correct process to leverage Prompt Builder in a Salesforce org?

A. 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.
B. 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.
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: A

Explanation:
When usingPrompt Builderin a Salesforce org, the correct process involves several important steps:
* Select the appropriate prompt template typebased on the use case.
* Develop the promptwithin theprompt workspace, where the template is created and customized.
* Select CRM-derived grounding datato be dynamically inserted into the prompt, ensuring that the AI- generated responses are based on accurate and relevant data.
* Pick the model to usefor generating responses, either using Salesforce's built-in models or custom ones.
* Test and validatethe generated responses to ensure accuracy and effectiveness.
* Option Bis correct as it follows the proper steps for usingPrompt Builder.
* Option AandOption Cdo not capture the full process correctly.
:
Salesforce Prompt Builder Documentation:https://help.salesforce.com/s/articleView?id=sf.
prompt_builder_overview.htm

NEW QUESTION # 141
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 Einstein Copilot capability helps the agent accomplish this?

A. Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.
B. Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.
C. Invoke a flow which makes a call to external data to create a Knowledge article.

Answer: B

Explanation:
In this scenario, theEinstein Copilotcapability that best helps the agent is its ability toexecute tasks based on available actionsandanswer questionsusing data from Knowledge articles. Einstein Copilot 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:
* Brefers to invoking a flow to create a Knowledge article, which is unrelated to the task of retrieving existing Knowledge articles.
* Cfocuses on generating Knowledge articles, which is not the immediate need for this situation where the agent requires guidance on existing procedures.
References:
* Salesforce Documentation onEinstein Copilot
* Trailhead Module onEinstein for Service

NEW QUESTION # 142
What is An Agentforce able to do when the "Enrich event logs with conversation data" setting in Einstein Copilot is enabled?

A. View the user click path that led to each copilot action.
B. Generate details reports on all Copilot conversations over any time period.
C. View session data including user Input and copilot responses for sessions over the past 7 days.

Answer: C

Explanation:
When the"Enrich event logs with conversation data"setting is enabled inEinstein Copilot, it allows An Agentforce or admin to view session data, including both theuser inputandcopilot responsesfrom interactions over the past 7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.
* This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helpingAgentforce Specialists track AI behavior and user engagement.
* Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.
* Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days.
SalesforceAgentforce SpecialistReferences:You can refer to this documentation for further insights:
https://help.salesforce.com/s/articleView?id=sf.einstein_copilot_event_logging.htm

NEW QUESTION # 143
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