최신버전AB-731최신업데이트덤프공부덤프공부

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Fast2test 의 학습가이드에는Microsoft AB-731인증시험의 예상문제, 시험문제와 답입니다. 그리고 중요한 건 시험과 매우 유사한 시험문제와 답도 제공해드립니다. Fast2test 을 선택하면 Fast2test 는 여러분을 빠른시일내에 시험관련지식을 터득하게 할 것이고Microsoft AB-731인증시험도 고득점으로 패스하게 해드릴 것입니다.
Microsoft AB-731 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Identify the business value of generative AI solutions | 35-40% | - Identify benefits and capabilities of generative AI solutions
- 1. Business value of generative AI
- 2. Use cases and scenarios
- Identify the foundational concepts of generative AI
- 1. Core concepts and terminology
- 2. Generative AI fundamentals
|
| Identify benefits, capabilities, and opportunities for Microsoft's AI apps and services | 35-40% | - Identify benefits and capabilities of Microsoft 365 Copilot and Microsoft Copilot
- 1. Licensing and pricing models
- 2. Microsoft Copilot features
- 3. Microsoft 365 Copilot capabilities
- Identify benefits and capabilities of Azure AI services
- 1. Azure AI service scenarios
- 2. Matching services to business needs
|
| Identify an implementation and adoption strategy for Microsoft's AI apps and services | 20-25% | - Align an AI strategy with Microsoft responsible AI policies
- 1. Responsible AI principles
- 2. AI governance and risk management
- Plan for AI adoption across the organization
- 1. Change management strategies
- 2. AI adoption planning
- 3. Cost considerations and ROI
|
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AB-731최신 업데이트 덤프문제, AB-731시험패스 가능한 공부
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최신 Agentic AI Business Solutions Architect AB-731 무료샘플문제 (Q96-Q101):
질문 # 96
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?
- A. Provisioned PTUs
- B. Microsoft 365 Copilot
- C. Standard On-Demand
- D. Batch API
정답:C
설명:
For a proof of concept , the key requirements are low commitment , quick start , and the ability to scale up or down as you learn what real usage looks like. Azure OpenAI Standard On-Demand pricing is designed for exactly that: you pay per token consumed (input and output) on a pay-as-you-go basis, which makes it ideal when demand is uncertain or variable-typical in early pilots and PoCs.
By contrast, Provisioned (PTUs) is best when you have well-defined, predictable throughput and latency requirements -usually a more mature, production workload. PTUs involve reserving model processing capacity to achieve consistent performance and more predictable costs, which is usually premature for a PoC where actual traffic patterns are not yet known.
Batch API is optimized for asynchronous high-volume jobs with a target turnaround (for example, up to 24 hours) and discounted pricing. That's great for offline processing, but it does not match an interactive "agent" PoC that typically needs near-real-time responses and iterative testing.
Microsoft 365 Copilot is a separate SaaS licensing model and is not the Azure OpenAI pricing model for building your own agent solution.
질문 # 97
Your company manages a website that publishes daily news articles.
You need to recommend an AI solution that can analyze text and identify the main people, locations, and companies mentioned in the articles.
What should you include in the recommendation?
- A. Azure Vision in Foundry Tools
- B. Azure Language in Foundry Tools
- C. Azure Speech in Foundry Tools
- D. Content Safety in Foundry Control Plane
정답:B
설명:
Azure Language in Foundry Tools can analyze text and identify main entities, including people, locations, and companies. This capability is officially known as Named Entity Recognition (NER).
Reference:
https://azure.microsoft.com/en-us/products/ai-foundry/tools/language
질문 # 98
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:
Microsoft Foundry is positioned as a unified platform experience for building, optimizing, and governing AI applications and agents. Microsoft explicitly emphasizes "fleetwide security and governance" and the ability to build and manage AI in a unified environment, which directly supports statement 1 being Yes : it is designed to help organizations build and operate generative AI solutions with centralized governance controls (for example, environment setup, data isolation, access control, and operational management).
For statement 2, Foundry supports scaling as demand increases . Microsoft documentation for Foundry- related model usage notes that as usage grows, Foundry can automatically increase quotas by moving users to higher tiers (and allows requesting additional quota). This is a concrete scalability mechanism tied to increased workload demand, so the statement is Yes .
For statement 3, Foundry is not limited to text-only generative AI. Microsoft provides "Azure Vision in Foundry Tools," which delivers computer vision capabilities such as analyzing images, reading text (OCR), and other image-processing features. That means Foundry can be used for image recognition/computer vision workloads, so the statement is Yes .
질문 # 99
You need to create an AI assistant for a public customer support portal. The assistant must answer customer questions and start follow-up actions. The solution must minimize development effort.
What should you use?
- A. Microsoft 365 Copilot connectors only
- B. Microsoft 365 Copilot Chat
- C. Microsoft Copilot Studio
- D. Microsoft Security Copilot
정답:C
질문 # 100
Your company plans to adopt AI across multiple business units.
You need to ensure that all AI projects align with the company's business strategy and are implemented responsibly.
What is the best approach to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
- A. Allow each department to deploy its own AI tools and workflows.
- B. Outsource AI development to an external vendor.
- C. Delegate AI decision-making to the company's IT department.
- D. Establish an AI council to provide guidance, oversight, and coordination.
정답:D
질문 # 101
......
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