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Three Easy-to-Use Salesforce Agentforce-Specialist Exam Questions Formats
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Salesforce Certified Agentforce Specialist Sample Questions (Q228-Q233):
NEW QUESTION # 228
Choose 1 option.
Which scenario best illustrates the use of Model Context Protocol (MCP) in an enterprise Al deployment?
- A. A legal assistant agent using MCP to dynamically find a document classification API to analyze case files
- B. A customer service agent engaging another agent in real-time conversation to resolve tickets
- C. A sales agent discovering other agents' capabilities using Agent Cards
Answer: A
Explanation:
The Model Context Protocol (MCP) in AgentForce and Salesforce AI architecture enables agents to dynamically discover and connect to external tools or APIs during runtime. The documentation defines it as: "MCP allows LLMs to query registered tool endpoints and retrieve their schemas, enabling dynamic tool discovery and invocation in enterprise AI environments." This makes Option A correct - a legal assistant agent using MCP to find a document classification API illustrates the dynamic, protocol-driven discovery and use of enterprise tools.
Option B, agent-to-agent conversation, involves Agent Network Communication, not MCP. Option C, agent capability discovery through Agent Cards, refers to the Agent Directory feature.
Therefore, Option A best reflects Salesforce's documented description of MCP's role in enterprise AI integrations.
References (AgentForce Documents / Study Guide):
* AgentForce Architecture Guide: "Model Context Protocol Overview"
* AgentForce Developer Study Notes: "Dynamic Tool and API Discovery with MCP"
* AgentForce Technical Overview: "Enterprise AI Integration via MCP"
NEW QUESTION # 229
Which use case is best supported by Salesforce Agent's capabilities?
- A. Bring together a conversational interface for interacting with AI for all Salesforce users, such as developers and ecommerce retailers.
- B. Enable Salesforce admin users to create and train custom large language models (LLMs) using CRM data.
- C. Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities
Answer: A
Explanation:
Salesforce Agentis designed to provide a conversational AI interface that can be utilized by different types of Salesforce users, such as developers, sales agents, and retailers. It acts as anAI-powered assistantthat facilitates natural interactions with the system, enabling users to perform tasks and access data easily. This includes tasks like pulling reports, updating records, and generating personalized responses in real time.
* Option Ais correct becauseAgentbrings a conversational interface that caters to a wide range of users.
* Option BandOption Care more focused on developing and training AI models, which are not the primary functions ofAgent.
:
Salesforce Agent Overview:https://help.salesforce.com/s/articleView?id=einstein_copilot_overview.htm
NEW QUESTION # 230
An Agentforce Specialist wants to troubleshoot their Agent's performance. Where should the Agentforce Specialist go to access all user interactions with the Agent, including Agent errors, incorrectly triggered actions, and incomplete plans?
- A. Agent Settings
- B. Plan Canvas
- C. Event Logs
Answer: C
Explanation:
Comprehensive and Detailed In-Depth Explanation:The Agentforce Specialist needs a comprehensive view of user interactions, errors, and action issues for troubleshooting. Let's evaluate the options.
* Option A: Plan CanvasPlan Canvas in Agent Builder visualizes an agent's execution plan for a single interaction, useful for design but not for aggregated troubleshooting data like errors or all interactions, making it incorrect.
* Option B: Agent SettingsAgent Settings configure the agent (e.g., topics, channels), not provide interaction logs or error details. This is for setup, not analysis, making it incorrect.
* Option C: Event LogsEvent Logs in Agentforce (accessible via Setup or Agent Analytics) record all user interactions, including errors, incorrectly triggered actions, and incomplete plans. They provide detailed telemetry (e.g., timestamps, action outcomes) for troubleshooting performance issues, making this the correct answer.
Why Option C is Correct:Event Logs offer the full scope of interaction data needed for troubleshooting, as per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Agent Analytics > Event Logs- Details interaction and error logging.
* Trailhead: Monitor and Optimize Agentforce Agents- Recommends Event Logs for troubleshooting.
* Salesforce Help: Agentforce Performance- Confirms logs for diagnostics.
NEW QUESTION # 231
After configuring and saving a Salesforce Agentforce Data Library (regardless of the data source), which components are automatically created and available in Data Cloud?
- A. A data pipeline, an indexing engine, and a query processor
- B. A data connector, an analytics dashboard, and a workflow rule
- C. A data stream, a search index, and a retriever
Answer: C
Explanation:
Why is "A data stream, a search index, and a retriever" the correct answer?
When a Salesforce Agentforce Data Library is configured and saved, it automatically creates three essential components in Data Cloud to facilitate AI-driven search and retrieval.
Key Components Created in Data Cloud:
* Data Stream
* This acts as the pipeline that brings data into Data Cloud.
* It enables real-time data ingestion from sources such as Salesforce records, PDFs, or external databases.
* Search Index
* After ingestion, data is indexed for efficient search and retrieval.
* This allows AI models to perform structured queries and retrieve relevant data faster.
* Retriever
* The retriever is an AI-powered search mechanism that uses the search index to fetch the most relevant data.
* It ensures that AI-generated responses are grounded in structured, reliable data.
Why Not the Other Options?
# A. A data pipeline, an indexing engine, and a query processor
* Incorrect because Data Cloud does not use a query processor in the same way as traditional databases.
* Instead, retrievers handle AI-powered data searches.
# B. A data connector, an analytics dashboard, and a workflow rule
* Incorrect because these components are not automatically created when setting up a Data Library.
* Analytics dashboards and workflow rules are separate tools used for reporting and automation.
Agentforce Specialist References
* Salesforce AI Specialist Material confirms that a Data Stream, Search Index, and Retriever are created automatically in Data Cloud when configuring a Data Library.
NEW QUESTION # 232
The marketing team at Universal Containers is looking for a way personalize emails based on customer behavior, preferences, and purchase history.
Why should the team use Agent as the solution?
- A. To generate relevant content when engaging with each customer
- B. To send automated emails to all customers
- C. To analyze past campaign performance
Answer: A
Explanation:
Agent is designed to assist in generating personalized, AI-driven content based on customer data such as behavior, preferences, and purchase history. For the marketing team at Universal Containers, this is the perfect solution to create dynamic and relevant email content. By leveraging Agent, they can ensure that each customer receives tailored communications, improving engagement and conversion rates.
* Option A is correct as Agent helps generate real-time, personalized content based on comprehensive data about the customer.
* Option B refers more to Einstein Analytics or
* Marketing Cloud Intelligence, and Option C deals with automation, which isn't the primary focus of Agent.
References:
* Salesforce Agent Overview: https://help.salesforce.com/s/articleView?id=einstein_copilot_overview.
htm
NEW QUESTION # 233
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