Microsoft AI-901 Korean Actual PDF : Microsoft Azure AI Fundamentals (AI-901 Korean Version)

Microsoft AI-901 Korean Actual PDF
  • Exam Code: AI-901-KR
  • Exam Name: Microsoft Azure AI Fundamentals (AI-901 Korean Version)
  • Updated: Sep 04, 2026
  • Q & A: 127 Questions and Answers
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About Microsoft AI-901 Korean Actual Exam

Shortcuts only work when they lead somewhere real. ActualPDF proves its Microsoft Azure AI Fundamentals (AI-901 Korean Version) material with a free demo, so AI-901 Korean candidates can verify the content before trusting it with their exam.

Microsoft AI-901 Korean Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-900
Exam Format:Drag and drop, Match the service to use case, Scenario-based, Multiple select, Multiple choice
Certificate Validity Period:1 year (renewable via free online assessment on Microsoft Learn)
Related Certifications:Microsoft Certified: Azure AI Fundamentals
Passing Score:700 / 1000
Real Exam Qty:40-60
Exam Price:USD 99
Exam Duration:45-60
Available Languages:Japanese, Russian, Korean, Spanish, Indonesian (Indonesia), Portuguese (Brazil), Arabic (Saudi Arabia), Italian, Chinese (Simplified), English, Chinese (Traditional), German, French
Sample Questions:Free Download Pass AI-901 Korean Exam Cram
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:

SectionWeightObjectives
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)15-20%- Identify features of common NLP workload scenarios
  • 1. Identify features and uses for translation
  • 2. Identify features and uses for key phrase extraction
  • 3. Identify features and uses for speech recognition and synthesis
  • 4. Identify features and uses for language modeling
  • 5. Identify features and uses for sentiment analysis
  • 6. Identify features and uses for entity recognition
- Identify Azure tools and services for NLP workloads
  • 1. Describe capabilities of the Azure AI Language service
  • 2. Describe capabilities of the Azure AI Speech service
Describe features of generative AI workloads on Azure (20-25%)20-25%- Identify generative AI services and capabilities in Microsoft Azure
  • 1. Describe features and capabilities of Azure AI Foundry
  • 2. Describe features and capabilities of Azure OpenAI service
  • 3. Describe features and capabilities of Azure AI Foundry model catalog
- Identify features of generative AI solutions
  • 1. Identify responsible AI considerations for generative AI
  • 2. Identify common scenarios for generative AI
  • 3. Identify features of generative AI models
Describe Artificial Intelligence workloads and considerations (15-20%)15-20%- Identify features of common AI workloads
  • 1. Identify features of Natural Language Processing (NLP) workloads
  • 2. Identify features of knowledge mining workloads
  • 3. Identify features of document intelligence workloads
  • 4. Identify features of generative AI workloads
  • 5. Identify features of content moderation and moderation workloads
  • 6. Identify features of computer vision workloads
- Identify guiding principles for responsible AI
  • 1. Describe considerations for transparency in an AI solution
  • 2. Describe considerations for reliability and safety in an AI solution
  • 3. Describe considerations for fairness in an AI solution
  • 4. Describe considerations for privacy and security in an AI solution
  • 5. Describe considerations for inclusiveness in an AI solution
  • 6. Describe considerations for accountability in an AI solution
Describe fundamental principles of machine learning on Azure (15-20%)15-20%- Identify common machine learning techniques
  • 1. Identify features of deep learning techniques
  • 2. Identify clustering machine learning scenarios
  • 3. Identify classification machine learning scenarios
  • 4. Identify regression machine learning scenarios
- Describe core machine learning concepts
  • 1. Describe how training and validation datasets are used in machine learning
  • 2. Identify features and labels for training data in machine learning
- Describe Azure Machine Learning capabilities
  • 1. Describe data and compute services for data science and machine learning
  • 2. Describe capabilities of automated machine learning
  • 3. Describe model management and deployment capabilities in Azure Machine Learning
Describe features of computer vision workloads on Azure (15-20%)15-20%- Identify common types of computer vision solution
  • 1. Identify features of image analysis solutions
  • 2. Identify features of image classification solutions
  • 3. Identify features of optical character recognition (OCR) solutions
  • 4. Identify features of semantic segmentation solutions
  • 5. Identify features of face detection and identification solutions
  • 6. Identify features of object detection solutions
- Identify Azure tools and services for computer vision tasks
  • 1. Describe capabilities of the Azure AI Face detection service
  • 2. Describe capabilities of the Azure AI Vision service

Questions and Answers About Microsoft Azure AI Fundamentals (AI-901 Korean Version)

Microsoft Azure AI Fundamentals (AI-901 Korean Version) is an official Microsoft exam, listed under exam code AI-901 Korean. A passing result earns you the Microsoft Certified: Azure AI Fundamentals certification at the Fundamental level. It also ties into Microsoft Certified: Azure AI Fundamentals, extending its value across your certification roadmap. Employers read this credential as verified competence, which is why it keeps appearing in job requirements.

Expect 40-60 questions inside 45-60 on the Microsoft Azure AI Fundamentals (AI-901 Korean Version) exam. That pace punishes hesitation, so rehearse it: the ActualPDF software engine simulates the real exam scene, reminds you of the questions you got wrong, and pushes you to re-practice them until the clock stops being your enemy.

Passing Microsoft Azure AI Fundamentals (AI-901 Korean Version) requires 700 / 1000, and the official registration fee is USD 99. Retakes charge the full USD 99 again, which is why experienced candidates treat preparation as the cheaper exam fee. Verify your readiness with repeated ActualPDF practice scores above the requirement before you commit to a date.

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 evolve, so confirm the current conditions before registering on the official exam page.

Yes. ActualPDF provides a free download demo of the Microsoft Azure AI Fundamentals (AI-901 Korean Version) material, so you can check the content before choosing a version. After purchase, a one-year warranty covers you: the latest version is sent to you as it releases, free for 365 days, and after expiry you can extend the update service at a 50% discount.

Your purchase is covered by a 100% money-back guarantee with clear conditions. Take the Microsoft Azure AI Fundamentals (AI-901 Korean Version) exam within 60 days of purchase; if you fail, provide your unqualified result by submitting a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and the full refund is processed within 7 days. The exam must match your product, candidate and payer names must match, and attempts within 3 days of purchase, unused downloads, free materials, and expired orders are not covered. Alternatively, exchange for two other exam products of equal value, free, or wait for updates while keeping your original product's update service.

Delivery is instant: files unlock for download at payment and are emailed within one minute. If nothing arrives within 2 hours, check spam and contact customer service, which works 7/24 and normally replies within two hours. Installation is unlimited across your computers.

The Microsoft Azure AI Fundamentals (AI-901 Korean Version) syllabus spans 5 domains, led by Describe features of computer vision workloads on Azure (15-20%) (15-20%), Describe features of generative AI workloads on Azure (20-25%) (20-25%), and Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) (15-20%). The complete topic list is published above; candidates who study the map first rarely get lost later.

Microsoft Azure AI Fundamentals (AI-901 Korean Version) Sample Questions:

Question 1

문장을 올바르게 완성하는 답을 고르시오.


Question 2

다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
참고: 정답 하나당 1점입니다.


Question 3

다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니요'를 선택하십시오.
참고: 정답 하나당 1점입니다.


Question 4

생성형 AI 모델을 Microsoft Foundry 프로젝트에 배포하고 있습니다. 모델에 더 높은 분당 토큰 수(TPM)를 할당했습니다. 이 변경의 결과는 무엇입니까?

A. 모델 배포가 입력값 변화를 처리할 수 있는 속도와 규모
B. 해당 모델은 더 긴 응답을 생성합니다.
C. 이 모델은 더 간결한 답변과 더 많은 출처 인용을 생성합니다.
D. 모델의 Azure 지역 가용성이 변경됩니다.


Question 5

제품에 대한 간략한 설명과 목표 고객층을 바탕으로 마케팅 이메일 초안을 생성하는 AI 솔루션을 구축해야 합니다.
어떤 AI 워크로드를 사용해야 할까요?

A. 생성형 인공지능
B. 음성 인식
C. 컴퓨터 비전
D. 텍스트 분류


Solutions:

Question 1
Answer: Only visible for members
Question 2
Answer: Only visible for members
Question 3
Answer: Only visible for members
Question 4
Answer: A
Question 5
Answer: A

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