- 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
Different candidates learn differently — that is why a good deal of research went into the Actual4Dumps approach to the Microsoft Azure AI Fundamentals (AI-901 Korean Version). The result: 132 practice questions for the AI-901 Korean exam that serve busy professionals and full-time students equally well.
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals (AI-900) Exam |
| Exam Number: | AI-900 |
| Certificate Validity Period: | Does not expire (Fundamentals certification) |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Azure Data Fundamentals (DP-900) Microsoft Azure Fundamentals (AZ-900) |
| Exam Format: | Multiple choice, Multiple response, Case study (limited), Drag and drop |
| Available Languages: | Chinese (Simplified), French, Korean, Portuguese (Brazil), Spanish, German, Chinese (Traditional), English, Japanese |
| Passing Score: | 700 (out of 1000) |
| Exam Price: | Approx. 99 USD (varies by region) |
| Recommended Training: | Microsoft Learn - AI-900 Learning Path Azure AI Fundamentals Course |
| Exam Registration: | Microsoft Certification Portal Schedule exam via Pearson VUE |
| Sample Questions: | ![]() |
| 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/ |
| Section | Weight | Objectives |
|---|---|---|
| Describe fundamental principles of machine learning on Azure | 25-30% | - Azure Machine Learning basics
|
| Describe features of generative AI workloads on Azure | 10-15% | - Generative AI concepts
|
| Describe features of computer vision workloads on Azure | 15-20% | - Image analysis
|
| Describe Artificial Intelligence workloads and considerations | 20-25% | - Responsible AI principles
|
| Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Text analysis
|
The Microsoft Azure AI Fundamentals (AI-901 Korean Version) blueprint is divided into 5 domains, headlined by Describe features of natural language processing (NLP) workloads on Azure (15-20%), Describe Artificial Intelligence workloads and considerations (20-25%), and Describe features of generative AI workloads on Azure (10-15%). The full weighted outline is in the syllabus section above — our materials are revised against it, and your study hours should follow it too.
For the Microsoft Azure AI Fundamentals (AI-901 Korean Version), Microsoft points candidates toward these resources:
Official training builds the foundation; deliberate practice builds the result. Pair whichever course you choose with 132 practice questions from Actual4Dumps and you prepare on both fronts.
The AI-901 Korean exam packs 40-60 questions into 60 minutes. That ratio is the hidden exam-within-the-exam: candidates who never practice under time pressure often know the content and still run out of minutes. Use the Actual4Dumps Windows engine or online engine in timed mode, and let pacing become a practiced skill rather than an exam-day surprise.
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You pass the AI-901 Korean exam at 700 (out of 1000), and official registration costs Approx. 99 USD (varies by region). Keep in mind the fee covers one attempt only — a retake is billed at full price again. The economical path is to self-test first: drill 132 practice questions at Actual4Dumps in timed mode until your scores clear the passing mark consistently, then register.
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No formal prerequisites required. Basic understanding of cloud computing and AI concepts is recommended.
Vendor rules change periodically, so before booking, confirm the current criteria on the official Microsoft exam page.
You can schedule the Microsoft Azure AI Fundamentals (AI-901 Korean Version) through the official channels below:
One note for scheduling: the AI-901 Korean exam is delivered Online proctored exam or in-person test center.
The AI-901 Korean exam — full name Microsoft Azure AI Fundamentals (AI-901 Korean Version) — is Microsoft's certification exam for professionals working with its technologies; passing it awards the Microsoft Azure AI Fundamentals certification, a credential at the Fundamentals level. It is the kind of vendor-issued proof employers can compare across candidates, which is exactly why it stays in demand. It also leads naturally toward Microsoft Azure Data Fundamentals (DP-900), Microsoft Azure Fundamentals (AZ-900).
다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
참고: 정답 하나당 1점입니다.
Correct Answer:

Explanation:
Statement 1: Generating a response to a user prompt occurs during the inference stage. = Yes When a deployed generative AI model receives a user prompt and generates an output, that process is called inference. The model is being used to produce a response, not being trained.
Statement 2: A generative AI model generates responses by copying stored documents directly from the model's training data. = No Generative AI models do not normally respond by simply copying stored documents from training data. They generate outputs based on learned statistical patterns. In some cases, models may reproduce memorized content, but that is not the normal or intended generation mechanism.
Statement 3: A generative AI model produces output by predicting the next token based on patterns learned from the model's training data. = Yes This is correct. Large language models generate text by predicting likely next tokens based on the prompt and learned patterns from training.
대출 승인 여부를 판단하는 AI 시스템을 설계할 때, 결정에 사용된 요소들은 설명 가능해야 합니다.
이것은 마이크로소프트의 책임 있는 AI에 대한 어떤 핵심 원칙의 예시입니까?
Correct Answer: C 🗳️
당신은 Foundry Tools의 Azure Content Understanding을 사용하여 업로드된 비디오 파일을 분석하는 애플리케이션을 개발하고 있습니다.
해당 애플리케이션이 동영상에서 구조화된 정보를 추출하는지 확인해야 합니다.
애플리케이션은 뭐라고 호출해야 할까요?
Correct Answer: C 🗳️
책임감 있는 AI의 원칙을 적절한 요구사항에 맞춰 적용하십시오.
답변하려면 왼쪽 열에서 적절한 원칙을 오른쪽 요구 사항으로 드래그하세요. 각 원칙은 한 번, 여러 번 또는 전혀 사용되지 않을 수 있습니다. 내용을 보려면 창 사이의 분할 막대를 드래그하거나 스크롤해야 할 수 있습니다.
참고: 정답 하나당 1점입니다.
Correct Answer:

Explanation:
The system must not discriminate based on gender, race, or age. = Fairness This requirement maps to fairness because fairness means AI systems should avoid unfair bias and treat people equitably across demographic groups.
Personal data must be visible only to approved users. = Privacy and security This requirement maps to privacy and security because it focuses on protecting personal data and restricting access to authorized users only.
Automated decision-making processes must be recorded so that approved users can identify why a decision was made. = Transparency This requirement maps to transparency because recording decision-making processes helps users understand and explain how or why an AI-supported decision was made.
생성형 AI 모델에 명령어를 입력할 때의 두 가지 목적은 무엇인가요? 각 정답은 해답의 일부를 나타냅니다.
참고: 정답 하나당 1점입니다.
Correct Answer: A,B 🗳️
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