さらに、GoShiken AB-731ダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1yew28MbMYnfP-1wQmCJQXH_c9ECBoVYx
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もし君がサラリーマンで、もし君が早い時間でMicrosoftのAB-731認定試験に合格したいなら、GoShikenは君のベストな選択になります。うちのMicrosoftのAB-731学習教材はGoShikenのIT専門家たちが研究して、実践して開発されたものです。それは十年過ぎのIT認証経験を持っています。うちの商品を使ったら、君は最も早い時間で、簡単に認定試験に合格することができます。
質問 # 41
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：
Explanation:
Answer Area
* Microsoft Foundry provides a unified platform for developers and data professionals to create custom end-to-end AI solutions. answer: Yes
* Microsoft Foundry provides a unified platform for low-code developers and business users to create custom end-to-end AI solutions. answer: No
* You need a Microsoft 365 Copilot license to access Microsoft Foundry services. Answer: No
* Yes - Microsoft Foundry is positioned by Microsoft as a unified AI platform for building, deploying, and scaling AI apps and agents, with enterprise governance in a single environment. Microsoft explicitly describes Foundry as enabling developers (and, in broader descriptions, data professionals
/enterprises) to build and operate AI solutions end-to-end, which aligns with the statement.
* No - While Foundry can streamline AI development workflows and may include experiences that reduce complexity, the statement specifically targets low-code developers and business users creating custom end-to-end AI solutions. In Microsoft's ecosystem, that "low-code/business-user" agent/app- building lane is more directly associated with tools like Copilot Studio/Power Platform , whereas Foundry is primarily presented as the platform for developers and technical teams building and governing AI solutions. Therefore, as written, the statement is not the best characterization.
* No - Access to Microsoft Foundry services is not gated by a Microsoft 365 Copilot license. Foundry is part of the Azure AI platform experience (formerly Azure AI Studio) and is accessed through Azure, using Azure subscription-based service consumption. Microsoft 365 Copilot licensing is for Microsoft
365 Copilot experiences, not a prerequisite to use Foundry services.
質問 # 42
You plan to meet with a group of stakeholders to discuss how generative AI can benefit your company. You need to provide the stakeholders with a relevant description of generative AI during the meeting. Which description should you use?
正解：D
解説：
Generative AI's defining characteristic is that it creates new content (text, images, code, summaries, drafts) in response to instructions-most commonly natural language prompts. Option C captures that general- purpose description in a stakeholder-friendly way: users provide prompts and the system generates responses or content. This framing is broad enough to cover common business value scenarios such as summarizing documents, drafting communications, creating marketing copy, generating reports, building assistants, and producing structured outputs from unstructured requests.
Option A is a single use case (translation), not the defining description. Option B describes predictive analytics
/forecasting, which is a different AI category focused on outcomes and probabilities rather than content creation. Option D describes recommendation systems, typically driven by ranking/behavioral signals; while AI can enhance recommendations, that is not the core definition of generative AI. Therefore, the most accurate and relevant description for stakeholders is C.
質問 # 43
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：
Explanation:
Box 1: No
A text-to-image generator (like DALL-E or Midjourney) takes textual descriptions and synthesizes them into visual imagery. It does not perform language translation workflows; that task requires natural language processing (NLP) or large language models (LLMs).
Box 2: No
Predictive analytics models rely on historical data and machine learning algorithms to forecast future trends, behaviors, or numerical outcomes (such as click-through rates or future sales).
They do not create or synthesize brand-new creative artifacts like marketing text or ad copies; that is the role of Generative AI.
Box 3: Yes
Generative AI chatbots (like those built using custom LLMs or Copilot Studio) excel at maintaining dynamic, human-like context. They can handle highly personalized conversations based on user profile inputs and dynamically synthesize relevant product recommendations.
質問 # 44
DRAG DROP - Match the Microsoft responsible AI principles to the appropriate descriptions. NOTE: Each correct match is worth one point.
正解：
解説：
Explanation:
Answer Area
* Protect personal information and apply strong safeguards to keep data secure. Answer: Privacy and security
* Make AI solutions understandable by explaining how and why decisions are made. Answer:
Transparency
* Design AI solutions that are accessible to people of all abilities and experiences. Answer: Inclusiveness
* Involve human oversight in the control of AI solutions. Answer: Accountability Microsoft's Responsible AI principles provide a practical framework for building and deploying trustworthy AI systems.
Privacy and security is the principle focused on protecting personal information and ensuring strong safeguards-such as least privilege access, encryption, DLP controls, secure storage, and auditing-so data remains protected throughout collection, processing, and usage.
Transparency is about making AI systems understandable. This includes communicating when AI is being used, explaining system capabilities and limitations, and providing clarity on how outputs are produced (for example, what data sources are used, what assumptions apply, and why certain recommendations are generated). Transparency reduces confusion and helps users calibrate trust appropriately.
Inclusiveness ensures AI solutions are designed to benefit people of diverse abilities, backgrounds, and experiences. Practically, this includes accessibility (assistive technologies, readable outputs), inclusive UX design, and testing across diverse user groups so the solution does not exclude or disadvantage certain populations.
Accountability emphasizes that humans and organizations remain responsible for AI outcomes. Involving human oversight is a direct expression of accountability: setting governance, defining who owns decisions, establishing escalation paths, and ensuring there are controls for review, intervention, and correction when AI outputs are unsafe or incorrect.
質問 # 45
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：
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
質問 # 46
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時には、進める小さなステップは人生の中での大きなステップとするかもしれません。MicrosoftのAB-731試験は小さな試験だけでなく、あなたの職業生涯に重要な影響を及ぼすことができます。これはあなたの能力を認めます。MicrosoftのAB-731試験のほかの認証試験も大切なのです。それに、これらの資料は我々GoShikenのウェブサイトで見つけることができます。
AB-731専門試験: https://www.goshiken.com/Microsoft/AB-731-mondaishu.html
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