Exam Name: Microsoft Azure AI Fundamentals (AI-901 Korean Version)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Azure AI Fundamentals
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Updated: Oct 22, 2026
No. of Questions: 132 Questions & Answers with Testing Engine
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- Total Questions: 132
- Updated on: Oct 22, 2026
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- Total Questions: 132
- Updated on: Oct 22, 2026
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- Total Questions: 132
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Information changes daily, and exam content changes with it. That is why the Microsoft Azure AI Fundamentals (AI-901 Korean Version) materials at Exams4sures are revised at high frequency — and why every purchase of the AI-901 Korean exam product includes 365 days of free updates, with the latest version sent straight to your email the moment it is released.
Microsoft AI-901 Korean Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals (AI-900) Exam |
| Exam Number: | AI-900 |
| Related Certifications: | Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure Fundamentals (AZ-900) |
| Exam Price: | Approx. 99 USD (varies by region) |
| Certificate Validity Period: | Does not expire (Fundamentals certification) |
| Real Exam Qty: | 40-60 |
| Available Languages: | Chinese (Simplified), Korean, Chinese (Traditional), French, German, Portuguese (Brazil), Spanish, English, Japanese |
| Passing Score: | 700 (out of 1000) |
| Exam Duration: | 60 minutes |
| Exam Format: | Multiple response, Drag and drop, Multiple choice, Case study (limited) |
| Recommended Training: | Microsoft Learn - AI-900 Learning Path Azure AI Fundamentals Course |
| Exam Registration: | Microsoft Certification Portal Schedule exam via Pearson VUE |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or in-person test center |
| Pre Condition: | No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/ |
Microsoft AI-901 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe features of computer vision workloads on Azure | 15-20% | - Image analysis
|
| Describe features of generative AI workloads on Azure | 10-15% | - Generative AI concepts
|
| Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Text analysis
|
| Describe Artificial Intelligence workloads and considerations | 20-25% | - Responsible AI principles
|
| Describe fundamental principles of machine learning on Azure | 25-30% | - Machine learning concepts
|
AI-901 Korean Exam Facts: What Candidates Want to Know
Check three things. First, authorship: the Microsoft Azure AI Fundamentals (AI-901 Korean Version) questions at Exams4sures are developed by experts with long experience in this field, and every answer is verified before publication. Second, update discipline: the bank is revised at high frequency, because exam content never stands still. Third, transparency: a free demo lets you inspect real sample questions and the practice interface before paying. Materials that cannot survive those three checks are not worth your money — ours are built to pass them.
The passing score for the AI-901 Korean exam is 700 (out of 1000), and the registration fee is Approx. 99 USD (varies by region). With the fee paid per attempt, thorough preparation is the economical route — consistent timed practice until your scores stay above the passing mark.
The AI-901 Korean exam is the official examination for the Microsoft Azure AI Fundamentals (AI-901 Korean Version) certification from Microsoft. It measures whether you can apply the published exam objectives to realistic working scenarios, and in a job market where enterprises keep raising requirements, the resulting credential is a clear, verifiable advantage — for job seekers and for employees aiming at the next step alike.
According to the official outline, the AI-901 Korean exam is structured around weighted domains such as:
- Describe fundamental principles of machine learning on Azure (25-30%)
- Describe features of natural language processing (NLP) workloads on Azure (15-20%)
- Describe Artificial Intelligence workloads and considerations (20-25%)
Because the exam evolves, the Microsoft Azure AI Fundamentals (AI-901 Korean Version) practice materials at Exams4sures are updated frequently — and the latest version is emailed to you automatically whenever a revision is released during your update period.
Official registration for the AI-901 Korean exam is available through:
Choose a date that leaves room for a full round of timed practice beforehand — the deadline itself is a powerful study tool.
The AI-901 Korean exam presents 40-60 questions within 60 minutes minutes. Rehearsing complete sets under the same time cap trains both accuracy and pacing, and it is the fastest way to find out which domains still need work.
Yes — user experience begins before checkout here. Download the free demo of the AI-901 Korean exam product to browse real sample content, see how the expert-verified answers are presented, and get a feel for the practice interface. After that preview, the decision is fully yours: if the materials fit, the full package is a one-minute checkout away; if not, the demo cost you nothing. Every demo at Exams4sures is free of charge.
Microsoft lists these training resources for candidates:
Official training builds the knowledge; frequent practice with an up-to-date question bank builds the exam-day readiness. The two reinforce each other well.
No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended.
Microsoft Azure AI Fundamentals (AI-901 Korean Version) Sample Questions:
당신은 인공지능 시스템을 구축하고 있습니다.
마이크로소프트의 책임 있는 AI에 대한 투명성 원칙을 서비스가 충족하도록 돕기 위해 어떤 작업을 포함해야 할까요?
- A. 훈련 데이터셋이 모집단을 대표하는지 확인하십시오.
- B. 서비스가 수요에 따라 확장되도록 자동 확장을 활성화합니다.
- C. 모든 시각 자료에 화면 낭독기가 읽을 수 있는 관련 텍스트가 있는지 확인하십시오.
- D. 개발자가 코드를 디버깅하는 데 도움이 되는 문서를 제공합니다.
Correct Answer: D 🗳️
Microsoft Foundry 프로젝트에 생성형 AI 모델이 배포되어 있습니다.
모델에서 생성된 응답이 비용을 최소화하고 정해진 길이 내에 유지되도록 해야 합니다.
어떤 매개변수를 설정해야 합니까?
- A. 온도
- B. 최대 완료 토큰
- C. 모델 버전 설정
- D. 탑 P
Correct Answer: B 🗳️
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Agent1이라는 에이전트가 포함된 Microsoft Foundry 프로젝트가 있습니다.
Agent1이 사용자 입력에 응답할 때 항상 Azure 함수를 호출하도록 해야 합니다.
Agent1의 tool_choice 값을 무엇으로 설정해야 할까요?
- A. 없음
- B. 필수
- C. 자동차
Correct Answer: B 🗳️
Explanation: Only visible for Exams4sures members. You can sign-up / login (it's free).
문장을 올바르게 완성하는 답을 고르시오.
Correct Answer:
Explanation:
The completed sentence is:
An AI workload that produces new content based on user input is an example of generative AI.
Generative AI is used to create new content, such as text, images, code, audio, or other outputs, from user prompts or instructions.
The other options are incorrect:
content understanding extracts or interprets information from existing content.
information extraction identifies and extracts structured data from content.
text analysis analyzes existing text for entities, sentiment, key phrases, language, or summaries.
문장을 올바르게 완성하는 답을 고르시오.
Correct Answer:
Explanation:
The correct answer is natural language processing. In this scenario, a user communicates with a chatbot using ordinary human language, such as asking, "Will it rain today?" The chatbot must interpret the meaning and intent of the user ' s text, process the request, and formulate a natural-language response containing the relevant weather information. These are characteristic natural language processing (NLP) functions.
The current AI-901 study guide explicitly includes text analysis among the common AI workloads candidates must identify, and it also covers techniques for processing and interpreting human language. Microsoft documentation on conversational language understanding explains that conversational systems interpret user utterances to determine the user ' s intent and extract relevant information before the application performs an appropriate action.
Although the weather information itself may originate from a forecasting system, the scenario being tested centers on the chatbot interaction-understanding a natural-language question and responding conversationally. Therefore, prediction and forecasting is not the best classification of the complete interaction. Computer vision is also incorrect because no images or visual information are being analyzed.
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