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Microsoft AI-900 Korean : 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: Sep 06, 2026

Q & A: 336 Questions and Answers

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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.

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

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The benefit of obtaining the AI-900: Microsoft Azure AI Fundamentals Exam Certification

For people working in technology, having an Azure certification becomes important. The high demand for Azure certified experts, the high salary and benefits. Microsoft Azure AI Fundamentals Exam Certification give you skills and knowledge about a particular area of technology.

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Microsoft AI-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Features of natural language processing (NLP) workloads on Azure30-35%- Text analytics and language understanding
  • 1. Sentiment analysis
    • 2. Language modeling and translation
      • 3. Key phrase extraction
        Topic 2: Fundamentals of machine learning on Azure25-30%- Core machine learning concepts
        • 1. Supervised vs unsupervised learning
          • 2. Training and validation concepts
            Topic 3: Describe AI workloads and considerations20-25%- Fundamentals of artificial intelligence concepts
            • 1. Responsible AI principles
              • 2. Common AI workloads
                Topic 4: Features of computer vision workloads on Azure15-20%- Computer vision solutions
                • 1. Image classification
                  • 2. OCR and image analysis
                    • 3. Object detection

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