2026 Itexamdump 최신 AB-731 PDF 버전 시험 문제집과 AB-731 시험 문제 및 답변 무료 공유: https://drive.google.com/open?id=1jTRM-LBe8vkhbCR0JFHQM4F1NT1Zf6k4
Itexamdump에서 최고최신버전의Microsoft인증AB-731시험덤프 즉 문제와 답을 받으실 수 있습니다. 빨리 소지한다면 좋겠죠. 그래야 여러분은 빨리 한번에Microsoft인증AB-731시험을 패스하실 수 있습니다.Microsoft인증AB-731관련 최고의 자료는 현재까지는Itexamdump덤프가 최고라고 자신 있습니다.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Certified: AI Transformation Leader |
| Exam Number: | AB-731 |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 45 minutes |
| Certificate Validity Period: | 1 year (renewable) |
| Available Languages: | English |
| Passing Score: | 700 / 1000 |
| Exam Format: | Drag and drop, Case studies, Multiple choice, Build list |
| Exam Price: | USD 99 |
| Related Certifications: | Microsoft Certified: AI Transformation Leader |
| Sample Questions: | Microsoft AB-731 Sample Questions |
| Exam Way: | Online or at a test centre |
| Pre Condition: | No formal prerequisites. Recommended: familiarity with Microsoft 365 services, Azure AI services, and experience with adoption or change management in a business context. This certification is designed for business decision-makers at all levels; no coding is required. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ab-731 |
많은 분들이 고난의도인 Microsoft관련인증시험을 응시하고 싶어 하는데 이런 시험은 많은 전문적인 관련지식이 필요합니다. 시험은 당연히 완전히 전문적인 AB-731관련지식을 터득하자만이 패스할 가능성이 높습니다. 하지만 지금은 많은 방법들로 여러분의 부족한 면을 보충해드릴 수 있으며 또 힘든 Microsoft시험도 패스하실 수 있습니다. 혹은 여러분은 전문적인 AI Transformation Leader관련지식을 터득하자들보다 더 간단히 더 빨리 시험을 패스하실 수 있습니다.
| 주제 | 소개 |
|---|---|
| 주제 1 |
|
| 주제 2 |
|
| 주제 3 |
|
질문 # 17
- For each of the following statements, select Yes if the statement is true. Otherwise, select No . NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
Answer Area
* Microsoft 365 Copilot enables users to search across emails, files, chats, meetings, and connected apps, by using natural language queries. Answer: Yes
* Microsoft 365 Copilot provides data protection, and helps ensure that user prompts and chat data are secure. Answer: Yes
* Microsoft 365 Copilot is included in all Microsoft 365 subscriptions. Answer: No
* Yes - Microsoft 365 Copilot is grounded in Microsoft 365 content through Microsoft Graph and is designed to help users find and summarize information across their work context (emails, files, chats, meetings). With extensions/connectors, Copilot can also incorporate information from connected apps, allowing users to query using natural language and get summarized, actionable outputs.
* Yes - A key enterprise benefit of Microsoft 365 Copilot is that it operates within the Microsoft 365 security, identity, and compliance boundary. It respects existing permissions (users only get content they are authorized to access) and supports organizational controls intended to protect prompts and generated content. This is part of the business value compared to consumer tools: IT can apply policies, auditing, and compliance controls to reduce data risk.
* No - Microsoft 365 Copilot is not automatically included in every Microsoft 365 subscription. In most business scenarios it is licensed as an add-on (or separate Copilot entitlement) for eligible Microsoft
365 plans, meaning it requires explicit licensing rather than being universally bundled with all subscriptions.
질문 # 18
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.
정답：
설명：
Explanation:
Box 1: No
No - Allowing AI models to make autonomous decisions support Microsoft AI principle of accountability.
Microsoft's principle of accountability actually mandates that humans, not AI models, remain the final authority for how a system operates. While AI can perform automated tasks, the accountability principle requires that the people who design and deploy these systems take responsibility for their impact and maintain meaningful control.
Box 2: Yes
Yes - Regularly testing AI models for fairness and inclusiveness helps ensure they align with Microsoft's Responsible AI principles.
Regularly testing AI models for fairness and inclusiveness is a foundational practice within Microsoft's Responsible AI Standard, which acts as a guide for developing and deploying AI systems. This continuous testing ensures that AI applications do not reinforce historical biases and perform equitably across different demographic groups, including race, gender, age, and background.
Box 3: Yes
Yes - Protecting user data and limiting access to personal information supports the Microsoft responsible AI principles of privacy and security.
Protecting user data and limiting access to personal information are, in fact, foundational to Microsoft's Responsible AI principles of Privacy and Security. Microsoft's AI framework mandates that AI systems are developed and deployed in a manner that respects user privacy and maintains strict data security, aiming for AI systems that are "secure by design".
Reference:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai
https://techcommunity.microsoft.com/blog/nonprofittechies/the-importance-of-responsible-ai-a- comprehensive-guide/4404347
질문 # 19
Your company plans to implement a proof of concept (PoC) agent that uses Azure OpenAI. The solution must start small and provide flexibility to scale usage as demand grows. Which pricing model should you use?
정답：D
설명：
The correct answer is B. Pay-as-you-go. A proof of concept should start with minimum commitment, flexible usage, and the ability to scale as demand becomes clearer. Pay-as-you-go pricing is appropriate because it allows the organization to pay based on actual model consumption rather than reserving dedicated capacity upfront. This is ideal when usage is uncertain, experimental, or expected to change during testing. Provisioned Throughput Units are better for predictable, high-volume production workloads that need reserved capacity and consistent throughput. Batch API is designed for asynchronous large-scale processing, not an interactive agent PoC. Microsoft 365 Copilot is a separate productivity service and not the Azure OpenAI pricing model for a custom agent solution.
질문 # 20
Match the business scenario to the appropriate AI solution design approach. Each solution may be used once, more than once, or not at all.
정답：
설명：
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.
질문 # 21
- For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
Answer Area
* Azure Vision in Foundry Tools can extract and analyze key phrases from PDF files. Answer: No
* Azure Vision in Foundry Tools can generate images based on natural language descriptions. Answer:
No
* Azure Document Intelligence in Foundry Tools can be used to automate the processing of invoices and credit notes. Answer: Yes
* No - Azure Vision in Foundry Tools focuses on computer vision tasks such as image analysis and OCR (reading text from images and documents). While it can extract text from scanned PDFs via OCR, key phrase extraction is a natural language processing capability provided by Azure Language in Foundry Tools , not Azure Vision. Key phrase extraction analyzes text to identify main concepts, which is a different service family than vision.
* No - Azure Vision can analyze existing images (for example, generate captions/descriptions of an image), but generating new images from a text prompt is a generative model capability (for example, DALL E through Azure OpenAI/Azure AI Foundry model endpoints), not an Azure Vision feature.
Vision describes what it "sees"; it doesn't synthesize new images from natural language.
* Yes - Azure Document Intelligence in Foundry Tools is designed for intelligent document processing
, including automating extraction of structured fields from financial documents. Microsoft provides prebuilt models for invoices and supports custom extraction for similar document types, which makes it suitable for automating workflows involving invoices and credit-note style documents (field extraction, validation, routing).
질문 # 22
......
AB-731최신버전 시험덤프: https://www.itexamdump.com/AB-731.html
참고: Itexamdump에서 Google Drive로 공유하는 무료, 최신 AB-731 시험 문제집이 있습니다: https://drive.google.com/open?id=1jTRM-LBe8vkhbCR0JFHQM4F1NT1Zf6k4