참고: ExamPassdump에서 Google Drive로 공유하는 무료 2026 Microsoft AI-900 시험 문제집이 있습니다: https://drive.google.com/open?id=1Xrjxx1gjfKFOtVZa4rdII1ec_L-WtXo2
만약 아직도Microsoft AI-900인증시험 위하여 많은 시간과 정력을 소모하며 열심히 공부하고 있습니까? 아직도 어덯게하면Microsoft AI-900인증시험을 빠르게 취득할 수 있는 방법을 못찿고 계십니까? 지금ExamPassdump에서Microsoft AI-900인증시험을 안전하게 넘을 수 있도록 대책을 내드리겠습니다. 아주 신기한 효과가 있을 것입니다.
| Section | Weight | Objectives |
|---|---|---|
| Features of generative AI workloads on Azure | 20–25% | - Describe capabilities of Azure OpenAI Service - Describe generative AI concepts - Describe responsible AI practices for generative AI - Describe use cases for generative AI |
| Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Translator - Describe capabilities of Azure Speech - Describe capabilities of Azure Language - Identify types of NLP solutions |
| Features of computer vision workloads on Azure | 15–20% | - Describe capabilities of Azure Face - Describe capabilities of Azure Custom Vision - Describe capabilities of Azure Computer Vision - Describe capabilities of Azure Form Recognizer - Identify types of computer vision solutions |
| Fundamental principles of machine learning on Azure | 15–20% | - Describe machine learning pipelines - Describe automated machine learning - Describe capabilities of Azure Machine Learning - Describe core concepts of machine learning |
| Artificial Intelligence workloads and considerations | 15–20% | - Identify types of AI workloads - Describe considerations for developing AI solutions - Describe responsible AI principles |
Microsoft AI-900 시험준비를 어떻게 해야할지 고민중이세요? 이 블로그의 이 글을 보는 순간 고민은 버리셔도 됩니다. ExamPassdump는 IT업계의 많은 분들께Microsoft AI-900시험을 패스하여 자격증을 취득하는 목표를 이루게 도와드렸습니다. 시험을 쉽게 패스한 원인은 저희 사이트에서 가장 적중율 높은 자료를 제공해드리기 때문입니다.덤프구매후 1년무료 업데이트를 제공해드립니다.
질문 # 226
Select the answer that correctly completes the sentence.
정답：
설명：
질문 # 227
A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.
You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.
This is an example of which type of machine learning?
정답：A
질문 # 228
To complete the sentence, select the appropriate option in the answer area.
정답：
설명：
Reference:
https://azure.microsoft.com/en-in/blog/microsoft-conversational-ai-tools-enable-developers-to-build-connect-and-manage-intelligent-bots
질문 # 229
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:
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Identify features of Natural Language Processing (NLP) workloads and services," the Azure Cognitive Service for Language - Question Answering capability is designed to allow applications to respond to user questions using information from a prebuilt or custom knowledge base. It relies on Natural Language Processing (NLP) to match user queries to the most relevant answers but does not directly execute queries against databases or infer user intent.
* "You can use Language Service's question answering to query an Azure SQL database." # NOThe Question Answering feature does not connect directly to or query structured databases such as Azure SQL. Instead, it retrieves answers from unstructured or semi-structured content (FAQs, manuals, documents). Querying SQL databases would require traditional database access, not a cognitive service.
* "You should use Language Service's question answering when you want a knowledge base to provide the same answer to different users who submit similar questions." # YESThis statement is correct and aligns exactly with Microsoft's official documentation. Question Answering enables organizations to create a knowledge base that can automatically answer repeated or similar customer queries using natural language understanding. For instance, two users asking "How do I reset my password?" and
"Can you help me change my password?" would receive the same predefined response.
* "Language Service's question answering can determine the intent of a user utterance." # NODetermining user intent is handled by Language Understanding (LUIS) or Conversational Language Understanding, not by Question Answering. While both belong to the Language Service, Question Answering focuses on retrieving relevant answers, whereas LUIS focuses on intent detection and entity extraction.
질문 # 230
Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.
Which type of AI workload should the company use?
정답：B
설명：
According to Microsoft's AI-900 study guide and the Microsoft Learn module "Identify common types of AI workloads", computer vision is the branch of AI that enables machines to interpret and act upon visual inputs such as photos, videos, or camera feeds.
In this scenario, the recycling machine must identify bottles based on their shape and reject other objects. This requires the AI system to visually analyze an image or a video stream and make a decision based on shape recognition-a classic computer vision application.
Computer vision models are trained with labeled image data (e.g., images of correct bottle shapes vs. incorrect items). Using techniques such as object detection or image classification, the model learns to detect patterns and identify whether an image matches the desired object.
The other options are not suitable:
* A. Anomaly detection identifies unusual data patterns, not visual features.
* B. Conversational AI handles human-computer interactions via text or voice.
* D. Natural language processing (NLP) deals with understanding and generating human language.
Therefore, because the task requires visual recognition of bottle shapes, the appropriate AI workload is Computer Vision.
Reference:Microsoft Learn - Identify common types of AI workloads: Computer Vision, NLP, Conversational AI, and Anomaly Detection (AI-900 Learning Path)
질문 # 231
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참고: ExamPassdump에서 Google Drive로 공유하는 무료 2026 Microsoft AI-900 시험 문제집이 있습니다: https://drive.google.com/open?id=1Xrjxx1gjfKFOtVZa4rdII1ec_L-WtXo2