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

  • Exam Code: AI-900 Korean
  • Exam Name: Microsoft Azure AI Fundamentals (AI-900 Korean Version)
  • Updated: Aug 04, 2026
  • Q & A: 336 Questions and Answers

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What You Will Learn from Microsoft AI-900 Exam

Outline the business value of the exam. The importance of having this certification. Identify the technologies covered on Microsoft AI-900 exam. Tasks you will perform every day. Skill sets that are not available anywhere else. Potential for career advancement throughout the organization. People who take this exam should have experience in the IT industry and should understand the architecture and business requirements of Azure. Jump start your career in Azure. Stuck when you are in the process of testing. Challenging questions and high level of difficulty. Mistakes while taking the exam or during the preparing for it. Microsoft AI-900 exam dumps help to make it easier for students. Beginners can also use it as a refresher course. Reviews of the best service providers. Track the progress of the exam.

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

The Microsoft AI-900 exam will measure the candidates’ skills and competence in a range of topics. They are as follows:

  • Explain AI Workloads & Considerations (15-20%): This section will measure the individuals’ ability to identify different features of common artificial intelligence workloads. It will also evaluate their competence in identifying the guiding principles that are responsible for AI.
  • Explain the Features of Computer Vision Workloads Available on Azure (15-20%): This domain requires that the test takers demonstrate competence in identifying the basic categories of computer vision solutions. It will also measure their skills in identifying different Azure services and tools for computer vision tasks. You will also need an understanding of the capabilities of Computer Vision service, Custom Vision service, Face service, and Form Recognizer service.
  • Explain the Fundamental Principles of ML on Azure (30-35%): The potential candidates for the Microsoft AI-900 exam should be able to identify the common types of machine learning and explain its core concepts. They also need to know how to identify the core tasks that are involved in creating the ML solutions. Additionally, they need to have the knowledge of the capabilities of no-code ML with Azure ML studio.
  • Explain the Features of Conversational Artificial Intelligence Workloads Available on Azure (15-20%): The applicants must demonstrate the understanding of common use cases associated with conversational artificial intelligence. This area also measures one’s knowledge of Azure services associated with conversational artificial intelligence.
  • Explain the Features of NLP (Natural Language Processing) Workloads Available on Azure (15-20%): This subject area will measure your ability to identify the features of basic Natural Language Processing Workload scenarios. It will also test your skills in identifying different Azure services and tools for NLP workloads. The topic will cover the understanding of the capabilities of Text Analytics service, Language Understanding service, Speech service, and Translator Text service.

Exam Topics

The potential candidates for this certification test must develop their skills in its topics before attempting it. It is recommended to go through the official webpage to review the detailed objectives. Microsoft updates the topics of its exams regularly, so studying the latest domains is very important to your success in the test. Thus, Microsoft AI-900 covers the following sections:

Describe AI Considerations and Workloads (15-20%)

The first topic evaluates the following skills:

  • Identify the common AI Workloads features – You should be able to identify a variety of workloads, such as forecasting/prediction, computer vision, and conversational AI. The subsection also covers the characteristics of anomaly detection workloads, knowledge mining, and natural language processing workloads.
  • Identify the guiding principles associated with responsible Artificial Intelligence – This one will evaluate the candidates’ ability to explain some concepts. These include considerations of safety and reliability in AI solutions and considerations for fairness in AI solutions. It also covers considerations for security and privacy, transparency, inclusiveness, and accountability within an AI solution.

Microsoft AI-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Fundamental principles of machine learning on Azure15–20%- Describe core concepts of machine learning
- Describe automated machine learning
- Describe machine learning pipelines
- Describe capabilities of Azure Machine Learning
Topic 2: Artificial Intelligence workloads and considerations15–20%- Describe considerations for developing AI solutions
- Describe responsible AI principles
- Identify types of AI workloads
Topic 3: Features of Natural Language Processing (NLP) workloads on Azure15–20%- Describe capabilities of Azure Language
- Identify types of NLP solutions
- Describe capabilities of Azure Translator
- Describe capabilities of Azure Speech
Topic 4: Features of computer vision workloads on Azure15–20%- Describe capabilities of Azure Computer Vision
- Identify types of computer vision solutions
- Describe capabilities of Azure Form Recognizer
- Describe capabilities of Azure Face
- Describe capabilities of Azure Custom Vision
Topic 5: Features of generative AI workloads on Azure20–25%- Describe generative AI concepts
- Describe responsible AI practices for generative AI
- Describe use cases for generative AI
- Describe capabilities of Azure OpenAI Service

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