Microsoft AI-901 Korean : Microsoft Azure AI Fundamentals (AI-901 Korean Version)
- Exam Code: AI-901 Korean
- Exam Name: Microsoft Azure AI Fundamentals (AI-901 Korean Version)
- Updated: Oct 15, 2026
- Q & A: 132 Questions and Answers
About Microsoft AI-901 Korean Exam
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Microsoft AI-901 Korean Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Available Languages: | French, Japanese, Portuguese (Brazil), Korean, English, Russian, Indonesian (Indonesia), Spanish, Chinese (Simplified), Arabic (Saudi Arabia), Italian, Chinese (Traditional), German |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Exam Price: | USD 99 |
| Exam Format: | Scenario-based, Match the service to use case, Multiple choice, Drag and drop, Multiple select |
| Real Exam Qty: | 40-60 |
| Passing Score: | 700 / 1000 |
| Exam Duration: | 45-60 |
| Certificate Validity Period: | 1 year (renewable via free online assessment on Microsoft Learn) |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Describe Artificial Intelligence workloads and considerations (15-20%) | 15-20% | - Identify features of common AI workloads
|
| 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 features of generative AI solutions
|
| Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) | 15-20% | - Identify features of common NLP workload scenarios
|
| Describe fundamental principles of machine learning on Azure (15-20%) | 15-20% | - Identify common machine learning techniques
|
Thinking About the AI-901 Korean Exam? Read This First
The official Microsoft Azure AI Fundamentals (AI-901 Korean Version) blueprint is split into 5 domains, starting with Describe features of computer vision workloads on Azure (15-20%) (15-20%), Describe features of generative AI workloads on Azure (20-25%) (20-25%), Describe fundamental principles of machine learning on Azure (15-20%) (15-20%). The percentages tell you where the exam concentrates its questions, so budget your study time accordingly — the complete outline above lists every domain and subtopic.
The Microsoft Azure AI Fundamentals (AI-901 Korean Version) is Microsoft's official exam for the Microsoft Certified: Azure AI Fundamentals certification, positioned at the Fundamental level. It is the credential hiring managers scan for, and passing it proves your skills meet the vendor's own standard. It also links to related certifications like Microsoft Certified: Azure AI Fundamentals, so this exam can serve as a building block in a longer certification plan.
The official registration fee is USD 99, and you will need 700 / 1000 to pass. Here is the part people forget: fail, and the retake costs the same full fee again — there is no discount for a second attempt. Drill with the 132 practice questions from VCETorrent until your scores are consistently past the mark, and only then spend that fee.
Yes — a free PDF demo lets you inspect the question quality and format before you pay a cent. Once you purchase, your Microsoft Azure AI Fundamentals (AI-901 Korean Version) material comes with 365 days of free updates, and if that update period ever lapses, extending it costs just 50% of the price in your member zone.
The exam contains 40-60 questions to be finished within 45-60. That ratio is tighter than most candidates expect, which is why pacing matters as much as knowledge. Practice skipping and returning to hard questions, set yourself a per-question time budget, and complete at least two full timed mock exams in the VCETorrent engine so you feel the clock pressure before it actually counts.
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. Vendor requirements do change from time to time, so confirm the current criteria before scheduling — the official AI-901 Korean exam page has the final word.
Two promises, both in writing. First, delivery: your files unlock for instant download the moment payment clears, a copy hits your mailbox within a minute, and you can install the material on unlimited computers — if 2 hours pass without anything arriving, contact our 24/7 support team. Second, the 100% Money Back Guarantee: take the corresponding AI-901 Korean exam within 60 days of purchase, and if you don't pass, submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam for a full refund, processed within 7 days. Conditions apply — exams taken within 3 days of purchase don't qualify, the candidate name must match the payer's, and free materials or expired orders are excluded. Rather keep studying? Exchange your order for two other exam products of equal value, free of charge, while your original updates continue.
Microsoft Azure AI Fundamentals (AI-901 Korean Version) Sample Questions:
문장을 올바르게 완성하는 답을 고르시오.
Correct Answer:
Explanation:
Ongoing monitoring, feedback, and evaluation are goals of the Reliability & Safety principle.
The Microsoft responsible AI principle of Reliability and safety focuses on ensuring that AI systems operate consistently, safely, and as intended across different conditions. This includes testing, monitoring, collecting feedback, and evaluating system performance over time.
Why the other options are incorrect:
Human oversight and control aligns more closely with accountability.
Data governance and management aligns more closely with privacy and security.
The minimization of stereotyping, demeaning, and erasing outputs aligns more closely with fairness and inclusiveness.
문장을 올바르게 완성하는 답을 고르시오.
Correct Answer:
Explanation:
Speech
The correct answer is speech . The scenario specifically describes converting spoken customer requests into written text , which is a speech-to-text , or speech recognition, capability. Microsoft classifies speech as one of the common AI workloads in the current Azure AI Fundamentals study guide. The guide explicitly requires candidates to identify scenarios involving speech and to understand the capabilities of speech recognition and speech synthesis .
Microsoft Azure Speech in Foundry Tools provides speech-to-text functionality that converts audio streams into textual transcriptions. It supports real-time transcription, fast transcription, and batch transcription depending on the workload.
Key phrase extraction analyzes existing text to identify important words or concepts; it does not perform audio transcription. Text analysis covers operations such as sentiment analysis, entity recognition, summarization, and key phrase extraction after text already exists. Natural Language Understanding (NLU) interprets the meaning or intent of language, but the conversion from audio into written words itself is specifically a speech recognition workload .
Study Guide Reference: Identify AI concepts and capabilities # Identify AI workloads # Identify features and capabilities of speech recognition and speech synthesis.
Microsoft Foundry Tools의 Azure Speech를 사용하여 기본 마이크에서 음성을 지속적으로 텍스트로 변환하는 애플리케이션을 개발하고 있습니다.
마이크에서 나오는 음성을 텍스트로 변환하는 작업을 수행해야 합니다.
어떤 파이썬 클래스를 사용해야 할까요?
- A. 음성 합성기
- B. 음성 인식기
- C. 음성 구성
- D. 오디오 출력 설정
Correct Answer: B 🗳️
당신은 Foundry Tools의 Azure Speech를 사용하여 텍스트를 음성으로 변환하고 합성된 음성을 파일로 저장하는 애플리케이션을 개발하고 있습니다.
파이썬 코드를 어떻게 완성해야 할까요? 정답을 선택하려면 답변란에서 적절한 옵션을 고르세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
AudioOutputConfig(filename= " output.wav " )
The question specifically states the application must save the synthesized audio to a file. In the Azure Speech SDK for Python, speechsdk.audio.AudioOutputConfig(filename= " output.wav " ) directs the synthesizer to write the generated speech output directly to a WAV file on disk - which is exactly the requirement.
Why the other options are wrong:
AudioOutputConfig(stream) - This routes audio output to an in-memory audio stream object, not a file. It is used when you want to process or play the audio programmatically without saving it to disk.
AudioStreamFormat(wave_stream_format=AudioStreamWaveFormat.PCM) - This class defines the format of an audio stream (e.g., PCM encoding, sample rate). It is used when configuring custom audio streams, not when specifying a file output destination. It is not a valid argument for speechsdk.audio. in this context.
The correct and complete line is:
audio_config = speechsdk.audio.AudioOutputConfig(filename= " output.wav " )
문장을 올바르게 완성하는 답을 선택하세요.
Correct Answer:
Explanation:
Azure Text Analytics client library
Comprehensive and Detailed Explanation with all Azure AI documents: =
The completed sentence is:
To develop an application that analyzes text by using Azure Language in Foundry Tools, use the Azure Text Analytics client library package.
Azure AI Language text analysis features, such as sentiment analysis, named entity recognition, key phrase extraction, language detection, and text summarization, are accessed in code by using the Azure Text Analytics client library.
The other options are incorrect:
Azure AI Projects client library is used for Foundry project and agent-related workflows, not specifically Azure Language text analysis.
Azure OpenAI client library is used to call OpenAI model deployments, not Azure Language text analytics APIs.
Azure Speech SDK is used for speech-to-text and text-to-speech workloads, not text analysis.
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