An hour or two a day, every day: that modest habit is what actually passes the AI-901 Korean exam. In 2026, ExamTorrent gives Microsoft Azure AI Fundamentals (AI-901 Korean Version) candidates 132 practice questions engineered for exactly that kind of steady effort.
Microsoft AI-901 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe Artificial Intelligence workloads and considerations | 20-25% | - Responsible AI principles
|
| Describe fundamental principles of machine learning on Azure | 25-30% | - Machine learning concepts
|
| Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Azure NLP services
|
| Describe features of generative AI workloads on Azure | 10-15% | - Generative AI concepts
|
| Describe features of computer vision workloads on Azure | 15-20% | - Azure AI Vision services
|
Everything Candidates Ask About Microsoft Azure AI Fundamentals (AI-901 Korean Version)
Microsoft Azure AI Fundamentals (AI-901 Korean Version) is an official Microsoft certification exam, registered under the code AI-901 Korean. Passing it awards the Microsoft Azure AI Fundamentals certification, a credential at the Fundamentals level. It also connects to Microsoft Azure Data Fundamentals (DP-900), Microsoft Azure Fundamentals (AZ-900). Successfully passing matters to every candidate because the credential keeps working for your career long after exam day.
You will answer 40-60 questions within 60 minutes on the Microsoft Azure AI Fundamentals (AI-901 Korean Version) exam. That combination rewards candidates who practiced under realistic timing, so make timed sessions in the ExamTorrent engine a daily habit; one to two hours a day is enough when every minute rehearses the real thing.
Microsoft Azure AI Fundamentals (AI-901 Korean Version) requires 700 (out of 1000) to pass, and official registration costs Approx. 99 USD (varies by region). Since every retake charges Approx. 99 USD (varies by region) again, diligent daily practice is the cheapest strategy available. Let your ExamTorrent practice scores confirm readiness across several consecutive sessions before you book.
Microsoft recommends the following training for Microsoft Azure AI Fundamentals (AI-901 Korean Version) candidates.
Training broadens your technology knowledge; the 132 practice questions in the ExamTorrent AI-901 Korean package sharpen it into exam-day scoring ability.
Sign-up for Microsoft Azure AI Fundamentals (AI-901 Korean Version) runs through the official channels below.
One logistics note: the exam is delivered Online proctored exam or in-person test center.
No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended.
Vendor requirements do change, so verify the current conditions before registering on the official exam page.
The Microsoft Azure AI Fundamentals (AI-901 Korean Version) blueprint covers 5 domains, with the largest being Describe fundamental principles of machine learning on Azure (25-30%), Describe features of computer vision workloads on Azure (15-20%), and Describe features of generative AI workloads on Azure (10-15%). The full topic list is above on this page; it tells you exactly where your daily hour or two earns the most marks.
Yes, download the free demo of the Microsoft Azure AI Fundamentals (AI-901 Korean Version) questions before deciding, and read former customers' comments for an independent verdict. After purchase, new versions download free for one year, and when your product expires you can extend the update service at a 50% discount. Returning customers also enjoy bountiful discounts on future exams.
Your purchase carries a 100% money-back guarantee with defined conditions. Take the Microsoft Azure AI Fundamentals (AI-901 Korean Version) exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. Alternatively, exchange for two other exam products of equal value, free, with your original purchase keeping its update service.
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Microsoft Azure AI Fundamentals (AI-901 Korean Version) Sample Questions:
문장을 올바르게 완성하는 답을 선택하세요.
Correct Answer:
Explanation:
The Model catalog is used for comparing and deploying a wide range of models for generative AI development in Microsoft Foundry.
Microsoft documentation states that the model catalog in Foundry portal is the hub for discovering and using a wide range of models to build generative AI applications. It also includes many models across providers such as Azure OpenAI, Mistral, Meta, Cohere, NVIDIA, and Hugging Face.
The Microsoft Learn module for Foundry models also states that the model catalog is used to explore and filter models, compare models using benchmark metrics, and deploy a model to an endpoint.
사용자의 질문에 대해 자세한 서면 설명을 제공하는 AI 솔루션을 구축해야 합니다.
어떤 유형의 AI 모델을 사용해야 할까요?
- A. 임베딩 모델
- B. 음성 인식 모델
- C. 이미지 생성 모델
- D. 텍스트 생성 모델
Correct Answer: D 🗳️
Microsoft Foundry SDK를 사용하여 모델에게 채팅 메시지를 보내는 간단한 애플리케이션을 개발하고 있습니다.
애플리케이션을 실행하기 위해 코드에 제공해야 하는 세 가지 요소는 무엇입니까? 각 정답은 해결 방법의 일부를 나타냅니다.
참고: 정답 하나당 1점입니다.
- A. 자격 증명
- B. 작업 유형
- C. 엔드포인트 URL
- D. 모델 배포 이름
- E. 파운드리 프로젝트 표시 이름
Correct Answer: A,C,D 🗳️
문장을 올바르게 완성하는 답을 고르시오.
Correct Answer:
Explanation:
The correct answer is classify email messages as work-related or personal. Natural language processing (NLP) is concerned with analyzing, interpreting, and processing human language, including unstructured text contained in documents, messages, reviews, and emails. Text classification is therefore a direct NLP workload: an AI model analyzes the linguistic content of an email and assigns it to a predefined category such as work-related or personal.
Microsoft ' s current AI-901 study guide explicitly requires candidates to identify scenarios for common AI workloads, including text analysis, and to understand common text-analysis techniques. Microsoft Azure Language in Foundry Tools similarly supports capabilities for extracting information from text and classifying text, demonstrating that categorization based on textual content is an NLP function.
Predicting future car rentals is primarily a regression/forecasting problem because the output is a numerical quantity. Predicting whether a website visitor will transact is typically a binary classification machine- learning problem based on behavioral or transactional features, not necessarily language. Stopping industrial machinery when a temperature threshold is exceeded is a rule-based monitoring/control scenario.
다음 각 문장에 대해, 문장이 참이면 '아니오'를 선택하고, 그렇지 않으면 '아니오'를 선택하십시오.
참고: 정답 하나당 1점입니다.
Correct Answer:
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