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Microsoft的AB-731考試認證是當代眾多考試認證中最有價值的考試認證之一，在近幾十年裏，電腦科學教育已獲得了世界各地人們絕大多數的關注，它每天都是IT資訊技術領域的必要一部分，所以IT人士通過Microsoft的AB-731考試認證來提高自己的知識，然後在各個領域突破。而Fast2test Microsoft的AB-731考試認證試題及答案正是他們所需要的，因為想要通過這項測試並不容易的，選擇適當的捷徑只是為了保證成功，Fast2test正是為了你們的成功而存在的，選擇Fast2test等於選擇成功，我們Fast2test提供的試題及答案是Fast2test的IT精英通過研究與實踐而得到的，擁有了超過計畫10年的IT認證經驗。
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問題 #25
Match the business scenario to the appropriate AI solution design approach. Each solution may be used once, more than once, or not at all.
答案：
解題說明：
Explanation:
* The marketing department at your company wants AI to summarize emails and create presentations.
The answer: Use Microsoft 365 Copilot
* The HR department at your company wants a conversational agent for policy questions and leave requests. Answer: Build with Microsoft Copilot Studio
* The manufacturing department at your company wants AI to predict maintenance schedules. Answer:
Build with Azure Machine Learning
* The finance department at your company wants AI-powered access to enterprise resource planning ERP data by using familiar productivity tools. Answer: Extend with Microsoft 365 Copilot connectors These scenarios map to four distinct solution patterns: out-of-the-box productivity assistance, low-code conversational agents, predictive ML, and enterprise data integration.
Marketing's need to summarize emails and create presentations is a core "productivity copilot" use case.
Microsoft 365 Copilot is embedded in Outlook, Word, PowerPoint, and Teams, so it directly supports summarization, drafting, and presentation generation without building a custom solution-making Use Microsoft 365 Copilot the best fit.
HR's requirement is a conversational agent tailored to internal policies and workflows such as leave requests.
That typically needs custom dialog, grounded knowledge sources, and possibly actions/workflows. Microsoft Copilot Studio is designed to build and manage such agents with organizational knowledge and business process integration, so Build with Microsoft Copilot Studio fits best.
Manufacturing's predictive maintenance scheduling is classic predictive analytics: learning patterns from historical telemetry/maintenance data to forecast failures or optimal service windows. This is best addressed with Azure Machine Learning , which supports training, evaluating, and deploying custom predictive models.
Finance wants AI-powered access to ERP data "using familiar productivity tools," which implies bringing external line-of-business data into the Microsoft 365 Copilot experience. That is precisely where Microsoft
365 Copilot connectors help-indexing and exposing enterprise data sources so Copilot can reference them in a governed way-so Extend with Microsoft 365 Copilot connectors is the best approach.
問題 #26
- For each of the following statements, select Yes if the statement is true. Otherwise, select No . NOTE: Each correct selection is worth one point.
答案：
解題說明：
Explanation:
Answer Area
* Microsoft Copilot in Outlook can automatically send follow-up replies to emails. Answer: No
* Microsoft Copilot in Outlook can identify and surface tasks mentioned in your emails. Answer: Yes
* Microsoft Copilot in Outlook can summarize long email threads and highlight action items and deadlines. Answer: Yes
1) No - Copilot in Outlook can draft email responses and help you take actions, but sending messages is not positioned as an automatic "follow-up reply" behavior. Microsoft describes capabilities such as "Draft with Copilot" (generating email drafts from prompts) and Copilot chat actions that update the mailbox, which implies user-directed execution rather than autonomous follow-up sending.
2) Yes - Copilot supports contextual help over your inbox and can help you "catch up" and understand what' s due, which includes surfacing action-oriented items from recent communications. This aligns with using Copilot to pull together summaries of email messages and identify what requires attention.
3) Yes - Microsoft explicitly documents email-thread summarization in Outlook: Copilot scans a conversation and produces a summary of key points. Microsoft also describes Copilot's summarization capability as extracting key points from threads, which is commonly used to surface what matters most (including actions to take) when the thread is long.
問題 #27
Select the answer that correctly completes the sentence.
答案：
解題說明：
Explanation:
Microsoft 365 Copilot connectors are used to bring external line-of-business and third-party content into the Microsoft 365 ecosystem so Copilot can use that information in supported experiences. Connectors help make data from systems outside Microsoft 365 discoverable and usable through Microsoft Graph-based indexing, while still respecting permissions and governance controls. This allows users to ask natural-language questions and receive answers grounded in business data from connected systems. Image and video analysis is associated with vision services, not Copilot connectors. Security incident summaries are aligned with Microsoft Security Copilot. Suggested email replies are a Microsoft 365 Copilot productivity feature in Outlook, not the primary purpose of connectors.
問題 #28
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
答案：
解題說明：
Explanation:
Box 1: Yes
Yes - Content filtering controls can prevent AI-generated responses from exposing confidential and sensitive information.
Content filtering controls are a critical safeguard for preventing AI-generated responses from inadvertently exposing confidential or sensitive information. These controls operate as
"guardrails" by inspecting data at both the input (prompt) and output (completion) stages.
Box 2: Yes
Yes - AI-generated content can unintentionally reveal sensitive information if the generative AI model has access to unsecured data source.
Unsecured data sources significantly increase the risk of AI-generated content exposing sensitive information through several mechanisms. Because generative AI models are "data-hungry" and often lack transparent data boundaries, they can absorb and later reproduce confidential data they were exposed to during training or operation.
Box 3: No
No - To prevent data exposure, only the prompts used by users must be protected by using policies.
While protecting user prompts is a critical first step, it is not sufficient on its own to prevent data exposure. Relying solely on prompt policies leaves significant gaps where sensitive data can still leak through other vectors.
Reference:
https://noma.security/resources/ai-application-security/
https://pacific.ai/managing-privacy-risks-llm-guidance/
https://www.paloaltonetworks.com/blog/network-security/securing-the-future-by-protecting- sensitive-data-in-ai-systems
問題 #29
Your company sells hiking and camping gear online. You need a generative AI solution that can interact with customers and ask questions about their needs. What should you include in the solution?
答案：C
問題 #30
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最新AB-731題庫: https://tw.fast2test.com/AB-731-premium-file.html
2026 Fast2test最新的AB-731 PDF版考試題庫和AB-731考試問題和答案免費分享：https://drive.google.com/open?id=1s8Lzo6lQ5iLnsu49l_zVxbKOUGe6vHwj