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

AI-900 Korean testking pdf

Exam Code: AI-900-KR

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

Updated: Aug 18, 2026

Q & A: 336 Questions and Answers

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Career Opportunities

As you remember, the Microsoft Certified: Azure AI Fundamentals validation is the fundamental certification designed for beginners with both technical and non-technical backgrounds. It is considered a good path to follow if you're interested in starting a career in the field of AI and ML. Below are some of the jobs that you can get your hand on through this certification. These jobs come with decent annual salaries as covered by Payscale.com:

  • AI Engineer: $76k;
  • Developer: $50k;
  • Data Scientist: $67k.

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

Prerequisites

This certification test has no official prerequisites. However, the interested candidates must develop their skills and knowledge in the domains of the exam topics. Although the individuals do not need this test to pursue more advanced Azure role-based options, they can gain extensive expertise while preparing for this exam. Your knowledge base can contribute to the success of more advanced certificates such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure Data Scientist Associate.

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  • Microsoft AI MVP Book: Practical Guide to Microsoft AI Written by 17 AI and Azure MVPs from all around the world

    This book is a collection of skills and knowledge from a team of AI and Azure specialists with countless years of experience in the field. It is written by Microsoft Azure MVPs including Leila Etaati, Anupama Natarajan, Ashraf Ghonaim, Cameron Vetter, David Rendon, etc. who used their cumulative years of experience to design a definitive study guide and a solution for all trainees preparing for AI-900 exam. The authors state it categorically that this book does not intend to cover everything there’s to know about Microsoft AI. And that it is important to combine it with other study materials to have a better chance of passing the Microsoft AI-900 exam. In a nutshell, this guide targets AI and ML developers, architects, data scientists, .net developers, and consultants who are already familiar with the foundational AI concepts. Remember it is not your best guide if you are starting from a zero, but an excellent choice if you are already familiar with most of the concepts in this field.

  • Azure AI Fundamentals: Study Guide and Practice Exam for Microsoft AI-900 Exam

    This guide by David Voss is based on the current test curriculum and targets trainees looking to gain foundational knowledge of the AI solutions and services on Azure. It comprises practice test questions and explanations that are consistent with Microsoft’s online learning tools. So, if you want to prepare with confidence and pass your exam easily, get your Kindle copy today from Amazon for only around $12.

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Microsoft AI-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
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
Features of computer vision workloads on Azure15–20%- Describe capabilities of Azure Computer Vision
- Describe capabilities of Azure Face
- Describe capabilities of Azure Custom Vision
- Describe capabilities of Azure Form Recognizer
- Identify types of computer vision solutions
Features of generative AI workloads on Azure20–25%- Describe responsible AI practices for generative AI
- Describe use cases for generative AI
- Describe capabilities of Azure OpenAI Service
- Describe generative AI concepts
Artificial Intelligence workloads and considerations15–20%- Describe responsible AI principles
- Identify types of AI workloads
- Describe considerations for developing AI solutions
Features of Natural Language Processing (NLP) workloads on Azure15–20%- Describe capabilities of Azure Language
- Describe capabilities of Azure Translator
- Identify types of NLP solutions
- Describe capabilities of Azure Speech

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