AB-730試験無料問題集「Microsoft AI Business Professional 認定」

Explanation:
Box 1: No
No - When you submit the same prompt to Microsoft 365 Copilot multiple times, and you are grounded in the web, the response will always be identical.
Actually, the response will not always be identical. While grounding in the web provides a consistent set of facts, several factors cause variations in the output:
Probabilistic Nature of LLMs: Microsoft 365 Copilot is built on Large Language Models (LLMs) that are inherently probabilistic. This means they predict the next likely word in a sequence, which often leads to slightly different phrasing or structures even when the input is the same.
*-> Dynamic Web Content: Web grounding uses Bing search results to provide real-time information. Because the web is constantly changing, a topic relevant for a summary at one moment might be replaced by newer, more relevant data just minutes later.
Response Generation Limits: If you ask the same question too many times in a row, Copilot may prompt you to rephrase or may "time out". The "regenerate" option specifically aims to reword things differently to provide a fresh perspective.
Personalization and Context: Responses can adapt over time based on user interactions and the specific Microsoft 365 context available at the time of the prompt.
Box 2: No
No - When you submit the same prompt to Microsoft 365 Copilot multiple times, and you are grounded in your own data, the response will always be identical.
Even when Microsoft 365 Copilot is grounded in your own data, submitting the same prompt multiple times will not always produce identical responses.
While grounding with your own data (emails, files, chats) significantly improves accuracy and relevance, the underlying technology remains a Large Language Model (LLM), which is inherently non-deterministic.
Here is why responses may vary:
Inherent Model Variability: LLMs like GPT-4, which power Copilot, generate answers token-by- token based on probability, which can lead to different, yet contextually appropriate, responses.
Dynamic Data Sources: If the documents or emails you are querying are updated or changed, the information Copilot retrieves might differ.
Contextual Sensitivity: Copilot may consider the context of previous interactions in a session. If the conversation thread changes, the output can vary.
Box 3: No
No - When you submit the same prompt to Microsoft 365 Copilot multiple times, and you are grounded in the model's knowledge, the response will always be identical.
Even when grounded in specific knowledge, Microsoft 365 Copilot will likely produce different responses to the same prompt.
This happens because:
Probabilistic Nature: Copilot is built on Large Language Models (LLMs) that use neural networks to predict text. This introduces randomness, meaning the model doesn't follow a fixed path to an answer even with identical inputs.
Dynamic Context: In active chats or meetings, Copilot bases its answers on the most recent content available. As a conversation or meeting evolves, what the model considers "relevant" changes, leading to varied summaries or answers over time.
Retrieval Variations: When grounded in your data (like SharePoint or OneDrive), the system may pick different "snippets" or sections of a document each time you ask a question, leading to slight-
-or sometimes significant--differences in the final output.
No "Seed" Control: Unlike some technical AI tools, standard Copilot does not allow users to set a
"seed" number to force 100% deterministic (identical) results.

解説: (GoShiken メンバーにのみ表示されます)

解説: (GoShiken メンバーにのみ表示されます)

Explanation:
Box 1: No
No - Microsoft 365 Copilot is trained on your organization's business data.
Microsoft 365 Copilot is designed to use your organization's business data, but it is crucial to understand that it is not "trained" on it in the traditional sense of modifying its foundation AI models. Instead, Copilot uses a process called grounding, which connects Large Language Models (LLMs) to your company's data (emails, chats, documents, etc.) in real-time to provide contextually relevant answers.
Here is a breakdown of how Microsoft 365 Copilot uses and protects your data:
How Copilot Uses Organizational Data
Real-Time Access via Microsoft Graph: Copilot uses Microsoft Graph to access data that an individual user already has permission to view, including emails, chats, meetings, and documents, to generate answers.
Contextual Understanding: It uses this information to help with tasks like summarizing a meeting, drafting emails based on previous communication, or searching for information across documents.
Scope of Access: Copilot is restricted to the data within your organization's Microsoft 365 tenant boundary.
Data Security and Privacy Protections
*-> No Training on Data: Prompts, responses, and data accessed through Microsoft Graph are not used to train the base foundation models that power Copilot.
Data Stays Within Boundary: Customer data remains within the Microsoft 365 service boundary.
Permissions Are Respected: Copilot adheres to the same access controls and security policies (e.g., sensitivity labels) that your organization has already put in place.
No Data Sharing with Third Parties: Customer data processed by Copilot is not shared with third- party models or used for advertising.
Box 2: Yes
Yes - Microsoft 365 Copilot can summarize emails in mailboxes that were shared with you.
Microsoft 365 Copilot can summarize emails and analyze content in shared or delegated mailboxes, provided the user has at least read access. Users can utilize prompts in the Copilot chat to summarize recent messages, identify key topics, or extract actions from shared accounts.
Box 3: Yes
Yes - Microsoft 365 Copilot leverages the security framework defined in Microsoft 365 to provide you with access to emails, documents, and other enterprise data.
Microsoft 365 Copilot leverages the existing security, privacy, and compliance framework of Microsoft 365 to ensure that it only accesses data a user is already authorized to view. By operating within the Microsoft 365 service boundary, Copilot respects established permissions, ensuring that sensitive information is not exposed to unauthorized users.