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Last Updated: Sep 03, 2026

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Failing AI-901 Korean means paying the registration fee all over again, which makes thorough preparation the cheaper option. The Microsoft Azure AI Fundamentals (AI-901 Korean Version) practice questions from Actualtests4sure give you 127 chances to rehearse before the day that counts, so you can walk in ready the first time.

Microsoft AI-901 Korean Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-900
Real Exam Qty:40-60
Related Certifications:Microsoft Certified: Azure AI Fundamentals
Exam Format:Scenario-based, Multiple choice, Match the service to use case, Multiple select, Drag and drop
Available Languages:French, Russian, Indonesian (Indonesia), Portuguese (Brazil), German, Arabic (Saudi Arabia), Korean, English, Japanese, Chinese (Simplified), Italian, Chinese (Traditional), Spanish
Certificate Validity Period:1 year (renewable via free online assessment on Microsoft Learn)
Exam Price:USD 99
Passing Score:700 / 1000
Exam Duration:45-60
Sample Questions:Microsoft AI-901 Korean Sample Questions
Exam Way:Online (remote proctored via Pearson VUE) or at a Pearson VUE test center
Pre Condition:No prerequisites. This exam is intended for both technical and non-technical backgrounds. Data science and software engineering experience are not required. Awareness of basic cloud concepts and client-server applications is beneficial.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900

Microsoft AI-901 Korean Exam Syllabus Topics:

SectionWeightObjectives
Describe features of computer vision workloads on Azure (15-20%)15-20%- Identify Azure tools and services for computer vision tasks
  • 1. Describe capabilities of the Azure AI Vision service
  • 2. Describe capabilities of the Azure AI Face detection service
- Identify common types of computer vision solution
  • 1. Identify features of face detection and identification solutions
  • 2. Identify features of optical character recognition (OCR) solutions
  • 3. Identify features of image analysis solutions
  • 4. Identify features of object detection solutions
  • 5. Identify features of semantic segmentation solutions
  • 6. Identify features of image classification solutions
Describe fundamental principles of machine learning on Azure (15-20%)15-20%- Identify common machine learning techniques
  • 1. Identify classification machine learning scenarios
  • 2. Identify regression machine learning scenarios
  • 3. Identify clustering machine learning scenarios
  • 4. Identify features of deep learning techniques
- Describe Azure Machine Learning capabilities
  • 1. Describe capabilities of automated machine learning
  • 2. Describe model management and deployment capabilities in Azure Machine Learning
  • 3. Describe data and compute services for data science and machine learning
- Describe core machine learning concepts
  • 1. Identify features and labels for training data in machine learning
  • 2. Describe how training and validation datasets are used in machine learning
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)15-20%- Identify features of common NLP workload scenarios
  • 1. Identify features and uses for language modeling
  • 2. Identify features and uses for speech recognition and synthesis
  • 3. Identify features and uses for sentiment analysis
  • 4. Identify features and uses for translation
  • 5. Identify features and uses for entity recognition
  • 6. Identify features and uses for key phrase extraction
- Identify Azure tools and services for NLP workloads
  • 1. Describe capabilities of the Azure AI Language service
  • 2. Describe capabilities of the Azure AI Speech service
Describe Artificial Intelligence workloads and considerations (15-20%)15-20%- Identify guiding principles for responsible AI
  • 1. Describe considerations for accountability in an AI solution
  • 2. Describe considerations for reliability and safety in an AI solution
  • 3. Describe considerations for inclusiveness in an AI solution
  • 4. Describe considerations for privacy and security in an AI solution
  • 5. Describe considerations for transparency in an AI solution
  • 6. Describe considerations for fairness in an AI solution
- Identify features of common AI workloads
  • 1. Identify features of computer vision workloads
  • 2. Identify features of content moderation and moderation workloads
  • 3. Identify features of Natural Language Processing (NLP) workloads
  • 4. Identify features of document intelligence workloads
  • 5. Identify features of generative AI workloads
  • 6. Identify features of knowledge mining workloads
Describe features of generative AI workloads on Azure (20-25%)20-25%- Identify generative AI services and capabilities in Microsoft Azure
  • 1. Describe features and capabilities of Azure OpenAI service
  • 2. Describe features and capabilities of Azure AI Foundry model catalog
  • 3. Describe features and capabilities of Azure AI Foundry
- Identify features of generative AI solutions
  • 1. Identify responsible AI considerations for generative AI
  • 2. Identify features of generative AI models
  • 3. Identify common scenarios for generative AI

Frequently Asked Questions About Microsoft Azure AI Fundamentals (AI-901 Korean Version)

The AI-901 Korean exam leads to the Microsoft Certified: Azure AI Fundamentals certification, a Fundamental-level credential from Microsoft. It validates the skills measured by the Microsoft Azure AI Fundamentals (AI-901 Korean Version) syllabus and is a recognized step for IT professionals building their careers, and it sits alongside related credentials such as Microsoft Certified: Azure AI Fundamentals.

The Microsoft Azure AI Fundamentals (AI-901 Korean Version) exam includes 40-60 questions and gives you 45-60 to complete them. That works out to a fairly tight pace, so reading each question carefully but decisively matters more than perfectionism. If a question stalls you, flag it and move on; banking the easier points first keeps time pressure from snowballing near the end. Before test day, run at least one full timed session with the Actualtests4sure practice test so the rhythm feels familiar rather than rushed.

You need 700 / 1000 to pass the AI-901 Korean exam, and the official registration fee is USD 99. Keep in mind that a failed attempt means paying the full fee again to retake the exam, so it pays to be honest with yourself before booking a seat. A practical benchmark: work through the 127 practice questions at Actualtests4sure until you can score comfortably above the passing line in timed mode, then schedule your exam.

No prerequisites. This exam is intended for both technical and non-technical backgrounds. Data science and software engineering experience are not required. Awareness of basic cloud concepts and client-server applications is beneficial. Because Microsoft may adjust its policies over time, we recommend confirming the latest requirements on the official exam page (official exam page) before you register.

Yes. Actualtests4sure offers a free PDF demo of the Microsoft Azure AI Fundamentals (AI-901 Korean Version) material, so you can review the question style and answer quality before making a decision. Every purchase also includes 365 days of free updates, and after that period you can extend your updates at a 50% discount, which keeps your preparation current through 2026 and beyond.

If you take the Microsoft Azure AI Fundamentals (AI-901 Korean Version) exam within 60 days of your purchase and do not pass, Actualtests4sure offers a full refund under its Money Back Guarantee. To apply, send a scanned copy of your exam enrollment slip together with your official Score Report in PDF format within 2 days of the exam date, and your claim will be processed within 7 days. The guarantee applies only to the corresponding exam: attempts made within 3 days of purchase, exams downloaded but never actually taken, free materials, and expired orders are not eligible, and the candidate name must match the purchaser name. If you would rather not take a refund, you can exchange your product for two additional exam preparation products of equal value and keep the update service on your original purchase. Delivery itself is instant: your product is available for download right after payment and is also sent to your email within one minute, and if it has not arrived within 2 hours, contact our support team. There is no limit on how many computers you can install it on.

The Microsoft Azure AI Fundamentals (AI-901 Korean Version) syllabus is divided into 5 main domains, including Describe fundamental principles of machine learning on Azure (15-20%) (15-20%), Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) (15-20%), Describe features of computer vision workloads on Azure (15-20%) (15-20%). Each domain carries a different share of the total score, so knowing where the weight sits helps you allocate your study time wisely. You will find the complete, up-to-date outline in the Exam Topics section above.

Microsoft Azure AI Fundamentals (AI-901 Korean Version) Sample Questions:

Question 1

당신은 Foundry Tools의 Azure Content Understanding을 사용하여 송장을 분석하는 애플리케이션을 개발하고 있습니다.
invoiceAnalyzer라는 사용자 지정 분석기가 있습니다.
송장 파일을 처리하려면 분석기를 사용해야 합니다.
파이썬 코드를 어떻게 완성해야 할까요? 정답을 선택하려면 답변란에서 적절한 옵션을 고르세요.
참고: 정답 하나당 1점입니다.


Question 2

다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
참고: 정답 하나당 1점입니다.


Question 3

텍스트 데이터에서 이름과 전화번호를 자동으로 마스킹하려면 Azure Language in Foundry Tools 서비스의 어떤 기능을 사용해야 합니까?

A. 사용자 지정 텍스트 분류
B. 개인 식별 정보(PLL) 탐지
C. 사용자 정의 개체명 인식(NERJ)
D. 엔티티 연결


Question 4

채용 결정을 지원하기 위해 AI 시스템을 도입합니다.
회사 정책에 따라 사람이 AI가 생성한 추천 사항을 검토하고 최종 채용 결정에 대한 책임을 져야 합니다.
이것은 마이크로소프트의 어떤 AI 원칙의 예시인가요?

A. 신뢰성 및 안전성
B. 책임
C. 공정성
D. 투명성


Question 5

귀하는 Azure OpenAI Foundry 모델을 사용하는 AI 애플리케이션을 개발할 계획입니다. 이 솔루션에는 특정 처리량 할당이 필요합니다.
어떤 배포 방식을 사용해야 할까요?

A. 표준
B. 글로벌 배치
C. 프로비저닝됨
D. 데이터 영역 표준


Solutions:

Question 1
Answer: Only visible for members
Question 2
Answer: Only visible for members
Question 3
Answer: B
Question 4
Answer: B
Question 5
Answer: C

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