2026年CertShikenの最新AB-731 PDFダンプおよびAB-731試験エンジンの無料共有：https://drive.google.com/open?id=1yeqViL9kQOq8RR-D3DCG7wY8OvyuTLXT
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あなたはインターネットでMicrosoftのAB-731認証試験の練習問題と解答の試用版を無料でダウンロードしてください。そうしたらあなたはCertShikenが用意した問題集にもっと自信があります。早くCertShikenの問題集を君の手に入れましょう。
質問 # 25
Drag and Drop Question
Match the business scenario to the appropriate AI solution design approach.
To answer, drag the AI solution from the column on the left to its business scenario on the right.
Each solution may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
正解：
解説：
Explanation:
Box 1: Build with Microsoft Copilot Studio
The marketing department at your company wants AI to summarize emails and create presentations.
Building an AI solution to summarize emails and create presentations using Microsoft Copilot Studio involves creating custom AI agents that leverage your company's Microsoft 365 data (emails, documents) to automate these workflows. Copilot Studio allows you to create, test, and publish conversational agents that can be integrated into Microsoft Teams or directly into Office apps.
Box 2: Use Microsoft 365 Copilot
The HR department at your company wants a conversational agent for policy questions and leave request.
A company can use Microsoft 365 Copilot to create a conversational agent for policy questions and leave requests, primarily by leveraging Copilot Studio to customize agents with specific organizational data. These agents can function within Microsoft Teams, providing a self-service,
24/7 interface for employees.
Box 3: Build with Azure Machine Learning
The manufacturing department at your company wants AI to predict maintenance schedules.
Azure Machine Learning (Azure ML) is a powerful, cloud-based platform that helps companies shift from reactive or scheduled maintenance to predictive maintenance, which optimizes maintenance schedules based on actual equipment health.
By leveraging IoT sensors, historical data, and AI, Azure ML enables organizations to forecast equipment failures before they occur, reducing downtime and maintenance costs.
Box 4: Extend with Microsoft 365 Copilot connectors
The finance department at your company wants AI-powered access to enterprise resource planning (ERP) data by using familiar productivity tools You can extend Microsoft 365 Copilot with connectors to enable AI-powered access to enterprise resource planning (ERP) data directly within productivity tools like Outlook, Teams, and Excel.
This integration allows users to query, summarize, and act on data from systems such as SAP, Oracle, and Dynamics 365 without switching between applications.
Reference:
https://techcommunity.microsoft.com/blog/azurecommunicationservicesblog/build-your-ai-email- agent-with-microsoft-copilot-studio/4448724
https://adoption.microsoft.com/en-us/scenario-library/human-resources/leave-of-absence- compliance-agent
https://learn.microsoft.com/en-us/azure/documentdb/solutions-iot
https://www.mtlc.co/how-to-unlock-the-power-of-microsoft-365-copilot-connectors
質問 # 26
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.
正解：
解説：
質問 # 27
Your company plans to use generative AI to help build a website that will showcase various existing products. Which capability best describes a benefit of using generative AI for this project?
More than one answer choice may achieve the goal. Select the BEST answer.
正解：B
解説：
Generative AI (GenAI) can significantly streamline the creation and localization of a product showcase website. Beyond standard word-for-word translation, GenAI tools--particularly those powered by Large Language Models (LLMs)--provide context-aware localization that adapts product descriptions to specific cultural nuances and brand tones.
Key Benefits of GenAI for Product Descriptions
Context-Aware Translation: Unlike older machine translation, GenAI understands the "intent" behind phrases, correctly handling idioms and technical terminology relevant to the product category.
Tone & Style Adaptation: You can instruct AI to translate a description into a "professional,"
"creative," or "technical" tone depending on the target audience.
Scalability: GenAI can process thousands of product listings simultaneously, reducing time-to- market by up to 90% compared to manual translation.
SEO Optimization: Some tools can automatically incorporate localized keywords into the translated description to improve search visibility in different regions.
Reference:
https://amplience.com/blog/create-personalized-product-descriptions-that-convert-with-ai
質問 # 28
Your company uses a generative AI solution.
You need to improve the quality of responses by using grounding.
Which statement accurately describes how grounding improves accuracy and relevancy?
正解：B
質問 # 29
- What should you use for each task? To answer, select the appropriate options in the answer area. NOTE:
Each correct selection is worth one point.
正解：
解説：
Explanation:
Answer Area
* Extracting structured data from forms and invoices: Answer: Azure Document Intelligence in Foundry Tools
* Summarizing written content from business reports: Answer: Azure Language in Foundry Tools
* Generating descriptive text for uploaded images: Answer: Azure Vision in Foundry Tools These three tasks align to three different Azure AI capability families: document processing, language understanding/generation, and computer vision.
* Forms and invoices are semi-structured documents where the business need is to extract specific fields (IDs, names, totals, dates) reliably into structured output. Azure Document Intelligence is designed for intelligent document processing and includes prebuilt models (such as invoices) as well as custom extraction options, making it the correct choice for structured data extraction from documents.
* Summarizing written business reports is an NLP task focused on compressing long text into key points, themes, and action items. Azure Language provides language processing capabilities (including summarization features within language service capabilities), so it is the best fit for summarization scenarios.
* Generating descriptive text for images (image captioning/description) is a computer vision task.
Azure Vision can analyze uploaded images and return descriptions/captions and other visual insights, which directly matches the requirement to produce descriptive text from images.
質問 # 30
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理論の最新の発展に従って、AB-731練習教材が多くの専門家によって改訂されることを保証し、学生向けにカスタマイズされた学習コンテンツを専門的にCertShiken編集します。つまり、AB-731試験を簡単かつ効率的に見つけることができます集中し、良い学術的成果を得る。さらに、AB-731試験ガイドは、お客様にサプリメントサービスモックテストを提供します。これにより、お客様はAB-731試験問題を勉強することにより、一生懸命勉強し、欠陥をチェックできます。
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P.S.CertShikenがGoogle Driveで共有している無料の2026 Microsoft AB-731ダンプ：https://drive.google.com/open?id=1yeqViL9kQOq8RR-D3DCG7wY8OvyuTLXT