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Microsoft AI-900 Exam Syllabus Topics:

SectionWeightObjectives
Artificial Intelligence workloads and considerations15–20%- Identify types of AI workloads
- Describe responsible AI principles
- Describe considerations for developing AI solutions
Features of Natural Language Processing (NLP) workloads on Azure15–20%- Describe capabilities of Azure Translator
- Describe capabilities of Azure Language
- Identify types of NLP solutions
- Describe capabilities of Azure Speech
Features of computer vision workloads on Azure15–20%- Identify types of computer vision solutions
- Describe capabilities of Azure Computer Vision
- Describe capabilities of Azure Face
- Describe capabilities of Azure Form Recognizer
- Describe capabilities of Azure Custom Vision
Features of generative AI workloads on Azure20–25%- Describe capabilities of Azure OpenAI Service
- Describe use cases for generative AI
- Describe generative AI concepts
- Describe responsible AI practices for generative AI
Fundamental principles of machine learning on Azure15–20%- Describe automated machine learning
- Describe machine learning pipelines
- Describe capabilities of Azure Machine Learning
- Describe core concepts of machine learning

>> AI-900질문과 답 <<

시험준비에 가장 좋은 AI-900질문과 답 최신버전 덤프데모문제 다운로드

Itcertkr에서 Microsoft AI-900 덤프를 다운받아 공부하시면 가장 적은 시간만 투자해도Microsoft AI-900시험패스하실수 있습니다. Itcertkr에서Microsoft AI-900시험덤프를 구입하시면 퍼펙트한 구매후 서비스를 제공해드립니다. Microsoft AI-900덤프가 업데이트되면 업데이트된 최신버전을 무료로 제공해드립니다. 시험에서 불합격성적표를 받으시면 덤프구매시 지불한 덤프비용은 환불해드립니다.

최신 Microsoft Certified: Azure AI Fundamentals AI-900 무료샘플문제 (Q239-Q244):

질문 # 239
Match the machine learning tasks to the appropriate scenarios.
To answer, drag the appropriate task from the column on the left to its scenario on the right. Each task may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

정답：

설명：

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml


질문 # 240
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：

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview


질문 # 241
Match the machine learning tasks to the appropriate scenarios.
To answer, drag the appropriate task from the column on the left to its scenario on the right. Each task may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

정답：

설명：

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml


질문 # 242
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：

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-python
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml


질문 # 243
What is the maximum image size that can be processed by using the prebuilt receipt model in Azure Al Document Intelligence?

정답：D

설명：
According to the Microsoft Learn documentation for Azure AI Document Intelligence (formerly Form Recognizer) and the AI-900 official study materials, the prebuilt receipt model in Azure AI Document Intelligence supports analyzing image and PDF files up to a maximum size of 10 MB per document.
Azure AI Document Intelligence is a cloud-based service that applies advanced optical character recognition (OCR) and machine learning to extract structured information from documents such as receipts, invoices, identity cards, and business forms. The prebuilt receipt model is specifically designed to extract key data fields from retail receipts-such as merchant name, transaction date, items purchased, subtotal, tax, and total-without requiring users to build or train a custom model.
As per Microsoft's service limits, the input file for the prebuilt models (including receipts, invoices, business cards, and identity documents) must:
* Not exceed 10 MB in file size.
* Not exceed 17 x 17 inches (43 x 43 cm) in physical dimensions.
* Be in a supported image or document format such as JPG, PNG, BMP, TIFF, or PDF.
Let's examine why other options are incorrect:
* A. 5 MB # Too small; the service allows up to 10 MB.
* C. 50 MB and D. 100 MB # Exceed the official maximum file size supported by Azure AI Document Intelligence.
Therefore, when using the prebuilt receipt model, you must ensure that the input file is 10 MB or smaller to be successfully processed by the service.


질문 # 244
......

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