Microsoft Azure AI Fundamentals (AI-900 Korean Version) : AI-900 Korean

  • Exam Code: AI-900-KR
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900 Korean Version)
  • Updated: Aug 30, 2026     Q & A: 336 Questions and Answers

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About Microsoft AI-900 Korean Exam

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About Azure AI Fundamentals Certification and Who It Is Intended for

The Microsoft Certified: Azure AI Fundamentals qualification authenticates the learner's understanding and skills in AI & ML concepts along with associated Azure services. In particular, the individual with this certification is competent in demonstrating their understanding of various workloads related to those terms along with their implementation in Azure cloud computing services. In addition, this certification is an excellent way to get a step ahead in the preparation for other role-based Azure certificates as well as showcasing one's skill in the fundamentals of ML as well as AI. All in all, the Azure AI Fundamentals validation form Microsoft is for beginners and thus, doesn't require any technical knowledge and expertise like, for example, engineering for software. However, some understanding of programming will help you a lot to easily nail test AI-900.

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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

Microsoft AI-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe features of Natural Language Processing (NLP) workloads on Azure15-20%- Describe Azure capabilities for NLP
- Identify Azure AI services for NLP
- Identify common NLP tasks
Topic 2: Describe fundamental principles of machine learning on Azure30-35%- Identify common machine learning tasks
- Describe core machine learning concepts
- Describe Azure Machine Learning capabilities
- Describe features of no-code automated ML
Topic 3: Describe AI workloads and considerations15-20%- Identify features of common AI workloads
- Identify guiding principles for responsible AI
Topic 4: Describe features of Generative AI workloads on Azure15-20%- Describe Azure OpenAI Service capabilities
- Identify responsible AI considerations for generative AI
- Describe generative AI concepts
Topic 5: Describe features of computer vision workloads on Azure15-20%- Identify common computer vision tasks
- Identify Azure AI services for computer vision
- Describe Azure capabilities for computer vision

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