Microsoft AI-900-KR exam dumps : Microsoft Azure AI Fundamentals (AI-900 Korean Version)

  • Exam Code: AI-900-KR
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900 Korean Version)
  • Updated: Sep 09, 2026     Q & A: 336 Questions and Answers

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Microsoft AI-900 certification exam is ideal for individuals who work with Azure cloud services or plan to migrate their applications to the Azure cloud. AI-900-KR exam is also suitable for IT professionals, developers, data analysts, and business analysts who want to gain a basic understanding of AI and its applications in the cloud environment. The AI-900 certification is a valuable addition to the resume of anyone interested in AI and machine learning.

Microsoft AI-900: Microsoft Azure AI Fundamentals is a certification exam that validates the foundational knowledge of candidates in the field of artificial intelligence and machine learning. AI-900-KR exam is designed for individuals who want to gain a basic understanding of AI and its applications in the Azure cloud environment. The AI-900 exam is an entry-level certification that does not require any prior experience or knowledge in AI.

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

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Microsoft AI-900 Korean Exam Syllabus Topics:

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

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