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  • Exam Code: AI-900 Korean
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900 Korean Version)
  • Updated: Jul 28, 2026
  • Q & A: 336 Questions and Answers
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  • Exam Code: AI-900 Korean
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900 Korean Version)
  • Updated: Jul 28, 2026
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AI-900 Korean Testing Engine
  • Exam Code: AI-900 Korean
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900 Korean Version)
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Certification Topics of Microsoft AI-900 Exam

Our Microsoft AI-900 exam dumps covers the following objectives of Microsoft AI-900 Exam.

  • Describe features of conversational AI workloads on Azure (15-20%)
  • Describe AI workloads and considerations (15-20%)
  • Describe features of computer vision workloads on Azure (15-20%)
  • Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
  • Describe fundamental principles of machine learning on Azure (30-35%)

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Skills measured

  • Describe features of conversational AI workloads on Azure (15-20%)
  • Describe AI workloads and considerations (15-20%)
  • Describe features of computer vision workloads on Azure (15-20%)
  • Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
  • Describe fundamental principles of machine learning on Azure (30-35%)

Explain Computer Vision Workloads Features on Azure (15-20%)

Here, the following skills will be measured:

  • Identify the basic types of Computer Vision Solution – The candidates need to understand and be able to identify a range of features. They include image classification solutions, semantic segmentation solutions, object detection solutions, and optical attributes recognition solutions. It also covers the attributes of facial recognition, facial analysis, and facial detection solutions.
  • Identify Azure services & tools for Computer Vision Projects – This section requires that the learners identify different capabilities of Computer Vision service, Face service, Customer Vision service, and Form Recognizer service.

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

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