試験高合格率保証2026年05月14日 AI-201試験問題と正確な回答！
テストエンジン練習問題AI-201有効最新の問題集
質問 # 61
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. Employee Agent to orchestrate internal logistics and finance
- B. Sales Agent to handle the upsell and large-deal escalation
- C. Service Agent to resolve the case end-to-end and create a new opportunity for the sales team
正解：B
解説：
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.
質問 # 62
An administrator wants to check the response of the Flex prompt template they've built, but the preview button is greyed out. What is the reason for this?
- A. A merge field has not been inserted in the prompt.
- B. The prompt has not been saved and activated,
- C. The records related to the prompt have not been selected.
正解：C
解説：
When the preview button is greyed out in a Flex prompt template, it is often because the records related to the prompt have not been selected. Flex prompt templates pull data dynamically from Salesforce records, and if there are no records specified for the prompt, it can't be previewed since there is no content to generate based on the template.
質問 # 63
During configuration, Universal Containers (UC) forgot to grant Knowledge access to the Agentforce Service Agent. Which permission must UC add for the agent to interact with Knowledge articles and answer customer questions effectively?
- A. Allow View Knowledge and Run Flows
- B. Access Custom Objects and Manage External Users
- C. Access Knowledge records and fields, and Allow View Knowledge
正解：C
解説：
According to the AgentForce for Service Configuration Guide, for an agent to interact with and retrieve Knowledge articles, it must have Knowledge object and field access, along with the
"Allow View Knowledge" permission. The documentation explains: "Agents need permission to access Knowledge records and their fields to retrieve and summarize content accurately.
Additionally, the Allow View Knowledge setting enables the agent to use the Knowledge object as a retrieval source."
質問 # 64
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. Event Logs
- B. Plan Canvas
- C. Agent Settings
正解：A
解説：
The Agentforce Specialist needs a comprehensive view of user interactions, errors, and action issues for troubleshooting.
質問 # 65
Coral Cloud Resorts is uploading thousands of new HTML knowledge articles files for a resort launch. To ensure Agentforce retrieves accurate responses quickly, which chunking strategy should be used when creating a new index?
- A. Section-aware chunking
- B. Semantic-based passage extraction
- C. Conversation-based chunking
正解：A
解説：
In AgentForce documentation on Knowledge Indexing and Chunking Strategies, Salesforce emphasizes that when uploading large volumes of structured content such as HTML or documentation files, the system should use section-aware chunking. The guide states: "Section- aware chunking preserves the logical boundaries of headings, paragraphs, and sub-sections in structured documents like HTML or PDF files, allowing the agent to retrieve contextually accurate and relevant responses quickly." This method ensures that the agent does not split content mid-section or lose contextual relationships between headings and body text. It enhances both retrieval speed and answer precision.
質問 # 66
What is the main benefit of using a Knowledge article in an Agentforce Data Library?
- A. The retriever for Knowledge articles has better accuracy and performance than the default retriever.
- B. Only the retriever for Knowledge articles allows for agents to access Knowledge from both inside the platform and on a customer's website.
- C. It provides a structured, searchable repository of approved documents so the agent can retrieve reliable information for each inquiry..
正解：C
解説：
Why is "A structured, searchable repository of approved documents" the correct answer?
Using a Knowledge Article in an Agentforce Data Library ensures that agents can quickly access reliable and pre-approved information during customer interactions.
Key Benefits of Knowledge Articles in an Agentforce Data Library:
Ensures Information Accuracy and Consistency
Knowledge articles provide approved, well-structured responses, reducing the risk of misinformation.
This ensures customer service consistency across different agents.
Improves Searchability and AI-Grounded Responses
Articles are indexed and retrieved efficiently by AI-powered search engines.
AI-generated responses are grounded in accurate, structured knowledge, improving response quality.
Enhances Customer Support and Agent Productivity
Agents spend less time searching for information and more time resolving customer inquiries.
Einstein AI can suggest the most relevant articles based on conversation context.
質問 # 67
Which scenario best illustrates the use of Model Context Protocol (MCP) in an enterprise Al deployment?
- A. A customer service agent engaging another agent in real-time conversation to resolve tickets
- B. A sales agent discovering other agents' capabilities using Agent Cards
- C. A legal assistant agent using MCP to dynamically find a document classification API to analyze case files
正解：C
解説：
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."
質問 # 68
A company wants to retrieve patient history details to augment the Al agent response. [he company wants to leverage the Data Cloud search index feature. What is best practice when considering retrieval-augrmented generation (RAG) for information that may contain personally identifiable information (PII)?
- A. Encrypt embeddings, but still index PII records.
- B. Mask sensitive fields and index only non-PII data.
- C. Depend on the agent's prompt to avoid exposing PII.
正解：B
解説：
According to the AgentForce Data Governance and RAG Security Guidelines, when implementing retrieval-augmented generation (RAG) using Data Cloud search indexes, best practice is to ensure that personally identifiable information (PII) and other sensitive data are never indexed or embedded in the retrieval system.
The documented recommendation is to mask or exclude sensitive fields before creating embeddings or indexing content. This prevents the large language model (LLM) from accessing or generating responses that could inadvertently expose confidential information. Masking can include redacting names, IDs, contact details, or any regulated medical information.
質問 # 69
Universal Containers plans to enhance its sales team's productivity using AI. Which specific requirement necessitates the use of Prompt Builder?
- A. Creating an estimated Customer Lifetime Value (CLV) with historical purchase data.
- B. Creating a draft newsletter for an upcoming tradeshow.
- C. Predicting the likelihood of customers churning or discontinuing their relationship with the company.
正解：B
解説：
UC seeks an AI solution for sales productivity.
質問 # 70
An Agentforce is tasked to optimize a business process flow by assigning actions to agents within the Salesforce Agentforce Platform. What is the correct method for the Agentforce Specialist to assign actions to an Agent?
- A. Assign the action to a Topic first on Action Builder.
- B. Assign the action to a Topic First in Agent Builder.
- C. Assign the action to a Topic first on the Agent Actions detail page.
正解：B
解説：
In the Salesforce Agentforce Platform, assigning actions to Agents requires mapping them through Topics in Agent Builder. Topics act as the container that links an Agent's conversational intent with the specific actions it can perform. By first assigning an action to a Topic in Agent Builder, the Agentforce Specialist ensures that the Agent knows when and how to trigger the action during the business process flow.
質問 # 71
What is true of Agentforce Testing Center?
- A. Running tests does not consume Einstein Requests.
- B. Running tests risks modifying CRM data in a production environment.
- C. Agentforce Testing Center can only be used in a production environment.
正解：A
解説：
The Agentforce Testing Center is a tool in Agentforce Studio for validating agent performance.
質問 # 72
An Agentforce Specialist is assisting Universal Containers with troubleshooting an agent. The Agentforce Specialist notices that the agent is not using topic actions in the desired sequence, causing inconsistent outcomes. Which technique should the Agentforce Specialist recommend to ensure deterministic control over the order in which actions are executed?
- A. Specify custom variables and filters.
- B. Specify the large language model (LLM) provider and version.
- C. Specify the order of actions.
正解：C
解説：
The AgentForce Action Sequencing and Deterministic Flow Guide explains that to ensure actions are executed in a specific and predictable order, administrators must explicitly define the order of actions in the topic setup. The documentation states:
"To achieve deterministic control, sequence the topic's actions in the desired order of execution.
This ensures that dependent actions, such as data retrieval followed by record creation, execute consistently and predictably."
質問 # 73
Universal Containers (UC) is looking to improve its sales team's productivity by providing real- time insights and recommendations during customer interactions. Why should UC consider using Agentforce Sales Agent?
- A. To streamline the sales process and increase conversion rates
- B. To track customer interactions for future analysis
- C. To automate the entire sales process for maximum efficiency
正解：A
解説：
Agentforce Sales Agent provides real-time insights and AI-powered recommendations, which are designed to streamline the sales process and help sales representatives focus on key tasks to increase conversion rates. It offers features like lead scoring, opportunity prioritization, and proactive recommendations, ensuring that sales teams can interact with customers efficiently and close deals faster.
質問 # 74
Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level. What does a safety category score of 1 indicate in the Einstein Generative Toxicity Score?
- A. Moderately safe
- B. Safe
- C. Not safe
正解：B
解説：
In the Einstein Trust Layer, the toxicity scoring system is used to evaluate the safety level of content generated by AI, particularly to ensure that it is non-toxic, inclusive, and appropriate for business contexts. A toxicity score of 1 indicates that the content is deemed safe.
The scoring system ranges from 0 (unsafe) to 1 (safe), with intermediate values indicating varying degrees of safety. In this case, a score of 1 means that the generated content is fully safe and meets the trust and compliance guidelines set by the Einstein Trust Layer.
For further reference, check Salesforce's official Einstein Trust Layer documentation regarding toxicity scoring for AI-generated content.
質問 # 75
An Agentforce agent occasionally provides responses that reference outdated Case information.
What is the MOST effective way to reduce this issue?
- A. Improve data grounding using live Salesforce records
- B. Increase prompt temperature
- C. Rely only on static instructions
- D. Disable the Einstein Trust Layer
正解：A
解説：
Grounding responses in live Salesforce CRM data ensures the agent uses current and accurate information.
質問 # 76
Universal Containers implemented Agent for its users. One user complains that Agent is not deleting activities from the past 7 days. What is the reason for this issue?
- A. Agent Delete Record Action permission is not associated to the user.
- B. Agent does not have the permission to delete the user's records.
- C. Agent does not support the Delete Record action.
正解：C
解説：
Agent currently supports various actions like creating and updating records but does not support the Delete Record action. Therefore, the user's request to delete activities from the past 7 days cannot be fulfilled using Agent.
Unsupported Action: The inability to delete records is due to the current limitations of Agent's supported actions. It is designed to assist with tasks like data retrieval, creation, and updates, but for security and data integrity reasons, it does not facilitate the deletion of records.
User Permissions: Even if the user has the necessary permissions to delete records within Salesforce, Agent itself does not have the capability to execute delete operations.
質問 # 77
Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates. Which type of flow should UC use?
- A. Template-triggered prompt flow
- B. Data Cloud-triggered flow
- C. Unified-object linking flow
正解：A
解説：
In this scenario, Universal Containers wants to bring data from unified Data Cloud objects into prompt templates, and the best way to do that is through a Data Cloud-triggered flow. This type of flow is specifically designed to trigger actions based on data changes within Salesforce Data Cloud objects.
Data Cloud-triggered flows can listen for changes in the unified data model and automatically bring relevant data into the system, making it available for prompt templates. This ensures that the data is both real-time and up-to-date when used in generative AI contexts.
For more detailed guidance, refer to Salesforce documentation on Data Cloud-triggered flows and Data Cloud integrations with generative AI solutions.
質問 # 78
Universal Containers (UC) is creating a new custom prompt template to populate a field with generated output. UC enabled the Einstein Trust Layer to ensure AI Audit data is captured and monitored for adoption and possible enhancements. Which prompt template type should UC use and which consideration should UC review?
- A. Flex, and that Dynamic Fields is enabled
- B. Field Generation, and that Dynamic Fields is enabled
- C. Field Generation, and that Dynamic Forms is enabled
正解：B
解説：
Salesforce Agentforce provides various prompt template types to support AI-driven tasks, such as generating text or populating fields. In this case, UC needs a custom prompt template to populate a field with generated output, which directly aligns with the Field Generation prompt template type. This type is designed to use generative AI to create field values (e.g., summaries, descriptions) based on input data or prompts, making it the ideal choice for UC's requirement.
Additionally, UC has enabled the Einstein Trust Layer, a governance framework that ensures AI outputs are safe, explainable, and auditable, capturing AI Audit data for monitoring adoption and identifying improvement areas.
The consideration UC should review is whether Dynamic Fields is enabled. Dynamic Fields allow the prompt template to incorporate variable data from Salesforce records (e.g., case details, customer info) into the prompt, ensuring the generated output is contextually relevant to each record. This is critical for field population tasks, as static prompts wouldn't adapt to record-specific needs. The Einstein Trust Layer further benefits from this, as it can track how dynamic inputs influence outputs for audit purposes.
質問 # 79
An Al Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI Specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the client. How should the Agentforce Specialist integrate the custom LLM into Salesforce?
- A. Enable model endpoint on OpenAl and make callouts to the model to generate emails.
- B. Create an application of the custom LLM and embed it in Sales Cloud via iFrame.
- C. Add the fine-tuned LLM in Einstein Studio Model Builder.
正解：C
質問 # 80
A Universal Containers administrator is setting up Einstein Data Libraries. After creating a new library, the administrator notices that only the file upload option is available; there is no option to configure the library using a Salesforce Knowledge base. What is the most likely cause of this Issue?
- A. Salesforce Knowledge is not enabled in the organization; without Salesforce Knowledge enabled, the Knowledge-based data source option will not be available in Einstein Data Libraries.
- B. The current Salesforce org lacks the necessary Einstein for Service permissions that support the Knowledge-based Data Library option, so only the file upload option is presented.
- C. The administrator is not using Lightning Experience, which is required to display all data source options, Including the Knowledge base option, when configuring Einstein Data Libraries.
正解：A
解説：
Why is "Salesforce Knowledge is not enabled" the correct answer?
If an administrator only sees the file upload option in Einstein Data Libraries and cannot configure a Salesforce Knowledge base, the most likely reason is that Salesforce Knowledge is not enabled in the organization.
Key Considerations for Einstein Data Libraries:
Salesforce Knowledge Integration is Optional
Einstein Data Libraries can pull knowledge data only if Salesforce Knowledge is enabled.
If Knowledge is not activated, the system will default to file uploads as the only available option.
How to Fix This Issue?
The administrator should enable Salesforce Knowledge in Setup Knowledge Settings.
Once enabled, the option to configure Knowledge-based Data Libraries will become available.
質問 # 81
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. 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.
- B. Configure Data Cloud to ingest file attachments and create custom index and retriever for product record and attachment data.
- C. 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.
正解：C
解説：
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).
質問 # 82
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