However you like to drill, the Microsoft Azure AI Fundamentals (AI-901 Korean Version) package from Actual4Exams has a matching tool: a printable PDF, a customizable Windows test engine with score tracking and random question order, and an online engine for any browser. Each one carries the same 127 AI-901 Korean practice questions.
Microsoft AI-901 Korean Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Exam Duration: | 45-60 |
| Certificate Validity Period: | 1 year (renewable via free online assessment on Microsoft Learn) |
| Passing Score: | 700 / 1000 |
| Available Languages: | French, Korean, Spanish, Italian, Portuguese (Brazil), Chinese (Simplified), Arabic (Saudi Arabia), German, Russian, Japanese, English, Indonesian (Indonesia), Chinese (Traditional) |
| Real Exam Qty: | 40-60 |
| Exam Price: | USD 99 |
| Exam Format: | Multiple choice, Match the service to use case, Multiple select, Scenario-based, Drag and drop |
| 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 features of Natural Language Processing (NLP) workloads on Azure (15-20%) | 15-20% | - Identify features of common NLP workload scenarios
|
| 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 Azure tools and services for computer vision tasks
|
| Describe features of generative AI workloads on Azure (20-25%) | 20-25% | - Identify generative AI services and capabilities in Microsoft Azure
|
| Describe fundamental principles of machine learning on Azure (15-20%) | 15-20% | - Describe Azure Machine Learning capabilities
|
FAQ: Preparing for Microsoft Azure AI Fundamentals (AI-901 Korean Version) the Smart Way
Microsoft Azure AI Fundamentals (AI-901 Korean Version) is an official exam run by Microsoft under exam code AI-901 Korean. Passing it awards the Microsoft Certified: Azure AI Fundamentals certification, which sits at the Fundamental tier. It also counts toward related credentials such as Microsoft Certified: Azure AI Fundamentals. Certified professionals remain in shorter supply than the market wants, which is precisely why this exam keeps showing up in conversations about better roles and better pay.
The Microsoft Azure AI Fundamentals (AI-901 Korean Version) exam gives you 45-60 to work through 40-60 questions. That is a tight ratio, and it punishes candidates who get emotionally attached to any single item. The fix is mechanical: answer what you know, flag what you do not, and keep moving. A few full-length timed runs in the Actual4Exams test engine, with its randomized question order, will calibrate your pace far better than untimed reading ever could.
The official fee for Microsoft Azure AI Fundamentals (AI-901 Korean Version) is USD 99, and 700 / 1000 is what passing takes. The uncomfortable part: retakes cost the full USD 99 again, which makes preparation the cheapest line item in this whole project. Before booking, put yourself through repeated scored sessions with the Actual4Exams practice tests and compare results over time; a stable margin above the passing line, not a single lucky run, is when you are ready.
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 rules do get revised, so treat this as your starting point and confirm the current eligibility details before booking via the official exam page.
It is. Actual4Exams publishes a free PDF demo of the Microsoft Azure AI Fundamentals (AI-901 Korean Version) material, so the product can prove itself before you pay. Your purchase then comes with 365 days of free updates, and once that period ends, extending the update service costs 50% of the regular price. The test engine software itself is verified malware-free and safe to install.
Actual4Exams stands behind the product with a 100% money-back guarantee under defined conditions. If you take the Microsoft Azure AI Fundamentals (AI-901 Korean Version) exam within 60 days of purchase and fail, you qualify for a full refund, provided the exam corresponds to your product. Sitting the exam within 3 days of purchase does not qualify, and neither do unused downloads, free materials, or expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are resolved within 7 days. You may also choose an exchange instead of a refund: two other exam products of equal value, free, with the update service on your original purchase retained.
Delivery takes about a minute. Files unlock for instant download at payment and are emailed to you automatically; if 2 hours pass with nothing received, check spam and contact customer service. There is no installation limit, so the test engine can live on every device you own, phone included.
Microsoft Azure AI Fundamentals (AI-901 Korean Version) breaks down into 5 official domains, led by Describe fundamental principles of machine learning on Azure (15-20%) (15-20%), Describe features of generative AI workloads on Azure (20-25%) (20-25%), and Describe Artificial Intelligence workloads and considerations (15-20%) (15-20%). You will find the full topic-by-topic outline above on this page; use the weightings to budget your study hours where they pay back the most.
Microsoft Azure AI Fundamentals (AI-901 Korean Version) Sample Questions:
Microsoft Foundry 프로젝트인 project1이 있고, 이 프로젝트 안에 Resource1이라는 Azure OpenAI 리소스가 있습니다.
Resource1에 my-mini-gpt라는 이름의 모델 배포를 사용하여 gpt-4.1-mini 모델을 배포합니다.
애플리케이션에서 my-mini-gpt에 연결해야 합니다.
파이썬 코드를 어떻게 완성해야 할까요? 정답을 맞추려면 적절한 값을 해당 위치로 드래그하세요.
각 값은 한 번 사용될 수도 있고, 여러 번 사용될 수도 있으며, 전혀 사용되지 않을 수도 있습니다.
참고: 정답 하나당 1점입니다.
Explanation:
client = OpenAI(
api_key= " ... " ,
base_url= " https://resource1.openai.azure.com/openai/v1/ " ,
)
response = client.responses.create(
model= " my-mini-gpt " ,
)
For Azure OpenAI in Microsoft Foundry, the base_url uses the Azure OpenAI resource name in the endpoint format:
https:// < resource-name > .openai.azure.com/openai/v1/
In the question, the Azure OpenAI resource is named Resource1 , so the first blank must be resource1 .
Microsoft documentation for Azure OpenAI v1 endpoints confirms that the endpoint must use the ...openai.
azure.com/openai/v1/ path.
For the model parameter, Azure OpenAI requires the deployment name , not the underlying model name.
Microsoft states that Azure OpenAI always requires the deployment name when calling APIs, even when the parameter is named model.
The deployed model is gpt-4.1-mini , but the deployment name is my-mini-gpt . Therefore, the second blank must be:
model= " my-mini-gpt "
So the correct selections are:
base_url blank = resource1
model blank = my-mini-gpt
당신은 송장을 처리하여 비용을 계산하는 웹 애플리케이션을 개발하고 있습니다.
정의된 스키마를 사용하여 중첩 값을 포함한 구조화된 필드를 송장에서 추출해야 합니다.
무엇을 사용해야 할까요?
- A. 광학 문자 인식(OCR) 전용 문서 처리 파이프라인
- B. Foundry Tools의 Azure Speech에서 음성 인식 워크플로
- C. Foundry Tools의 Azure Content Understanding에 있는 분석기
- D. Azure AI 검색 서비스
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
문장을 올바르게 완성하는 답을 고르시오.
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.
다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
참고: 정답 하나당 1점입니다.
Explanation:
A system prompt, also called a system message, is used to guide how a generative AI model behaves, including its tone, role, response style, and output format. Microsoft states that system messages help steer an Azure OpenAI chat model toward the desired behavior, tone, and output format.
Statement 1: System prompts can be used to authorize users. = No
Authorization is handled by application identity, access control, authentication, and security configuration. A system prompt can guide model behavior, but it is not an authorization mechanism.
Statement 2: A system prompt is used to reduce tokens per minute (TPM). = No TPM is a quota or throughput setting for model deployments. A system prompt does not reduce or configure TPM.
Statement 3: A system prompt guides the behavior of a generative AI model. = Yes This is correct. Microsoft documentation says system messages help steer the model's behavior, tone, and output format.
문장을 올바르게 완성하는 답을 고르시오.
Explanation:
Counting the number of animals in an area based on a video feed is an example of computer vision .
Computer vision is the AI workload used to analyze visual content such as images and video. Counting animals in a video feed requires detecting visual objects in video frames and analyzing them, which is a computer vision task.
Forecasting predicts future values or trends from historical data.
Knowledge mining extracts insights from large document or data collections.
Therefore, the correct answer is computer vision .
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