- Exam Code: AI-901-KR
- Exam Name: Microsoft Azure AI Fundamentals (AI-901 Korean Version)
- Updated: Oct 18, 2026
- Q & A: 132 Questions and Answers
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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 / 1000 |
| Certificate Validity Period: | 1 year (renewable via free online assessment on Microsoft Learn) |
| Available Languages: | English, French, Portuguese (Brazil), Spanish, German, Italian, Arabic (Saudi Arabia), Japanese, Indonesian (Indonesia), Korean, Chinese (Simplified), Chinese (Traditional), Russian |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Exam Duration: | 45-60 |
| Exam Format: | Multiple select, Scenario-based, Multiple choice, Match the service to use case, Drag and drop |
| Exam Price: | USD 99 |
| 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 |
| Section | Weight | Objectives |
|---|---|---|
| Describe features of computer vision workloads on Azure (15-20%) | 15-20% | - Identify common types of computer vision solution
|
| Describe features of generative AI workloads on Azure (20-25%) | 20-25% | - Identify generative AI services and capabilities in Microsoft Azure
|
| Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) | 15-20% | - Identify Azure tools and services for NLP workloads
|
| Describe Artificial Intelligence workloads and considerations (15-20%) | 15-20% | - Identify features of common AI workloads
|
| Describe fundamental principles of machine learning on Azure (15-20%) | 15-20% | - Identify common machine learning techniques
|
The AI-901 Korean exam is Microsoft's official route to the Microsoft Certified: Azure AI Fundamentals certification (Fundamental level). For IT professionals building a career, it signals verified skill — the kind of advantage that tips better opportunities your way. It also sits in a family of related credentials: Microsoft Certified: Azure AI Fundamentals.
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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. Requirements like these do get updated, so confirm the details on the official exam page — official AI-901 Korean exam information — before you spend anything on registration.
Registration runs USD 99, and the pass mark is 700 / 1000. Paying by credit card is the standard route — safe and stable for both buyer and seller. And remember the fee is per attempt: a retake costs the same again, which is why candidates drill with the 132 practice questions from Actual4Dumps until their margin is comfortable.
The exam sets 40-60 questions against 45-60 on the clock. That pairing punishes hesitation, so train it out: set a per-question budget, flag-and-return instead of freezing, and rehearse full timed sessions in the Actual4Dumps engine until pacing is automatic.
Yes — a free PDF demo lets you examine the question quality first. If you buy, 365 days of free updates are included, with new versions sent to you as they're released; an expired update period can be renewed later at 50% off.
Expect 5 domains in the Microsoft Azure AI Fundamentals (AI-901 Korean Version) blueprint, headlined by Describe features of computer vision workloads on Azure (15-20%) (15-20%), Describe fundamental principles of machine learning on Azure (15-20%) (15-20%), Describe Artificial Intelligence workloads and considerations (15-20%) (15-20%). Use the weights as your study budget — high-percentage domains earn the most points per hour. The complete outline above has the full breakdown.
Microsoft Foundry 프로젝트에 비전 기능을 지원하는 채팅 모델 배포가 포함되어 있습니다.
여러분은 응답 API를 사용하는 Python 애플리케이션을 개발하고 있습니다. 이 애플리케이션은 사용자 프롬프트와 로컬 JPEG 이미지를 포함하는 요청을 보냅니다.
요청에 로컬 이미지를 포함해야 합니다.
이미지 입력값으로 어떤 값을 사용해야 할까요?
Correct Answer: C 🗳️
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기사 텍스트를 기반으로 삽화를 생성하려면 어떤 유형의 Azure AI 워크로드를 사용해야 할까요?
Correct Answer: B 🗳️
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당신은 Foundry Tools의 Azure Content Understanding을 사용하여 음성 메일 녹음을 처리하는 애플리케이션을 개발하고 있습니다.
Azure Content Understanding은 오디오를 텍스트로 변환하기 위해 어떤 기능을 사용합니까?
Correct Answer: D 🗳️
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문장을 올바르게 완성하는 답을 고르시오.
Correct Answer:

Explanation:
A schema defines which fields to extract when analyzing content.
In Azure Content Understanding, the schema or fieldSchema defines the structured data that the analyzer extracts from content, including field names, types, and extraction behavior. Microsoft documentation states that Content Understanding lets you define a schema to extract, classify, or generate field values from unstructured content.
The other options are incorrect:
A keyword list does not define the complete structured output fields.
OCR-only processing extracts text, but it does not define structured fields.
A synchronous API call describes a request pattern, not the extraction schema.
다음 중 마이크로소프트의 책임 있는 AI 원칙의 예시는 무엇입니까?
Correct Answer: A 🗳️
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