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

AI-900 Korean real exams

Exam Code: AI-900-KR

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

Updated: Sep 11, 2026

Q & A: 336 Questions and Answers

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About Microsoft Azure AI Fundamentals (AI-900 Korean Version) : AI-900 Korean pdf dumps

Microsoft Azure AI Fundamentals Exam Certification Details:

Number of Questions40-60
Exam CodeAI-900
Exam NameMicrosoft Certified - Azure AI Fundamentals
Duration60 mins
Exam Price$99 (USD)
Passing Score700 / 1000
Books / TrainingCourse AI-900T00: Microsoft Azure AI Fundamentals
Schedule ExamPearson VUE
Sample QuestionsMicrosoft Azure AI Fundamentals Sample Questions

In case you're eager to get to know more about artificial intelligence facets & machine learning functions that relate to Microsoft Azure, then you're recommended to opt for AI-900 test.

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

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How to Register For Exam AI-900: Microsoft Azure AI Fundamentals?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=AI-900&examname=Exam%20AI-900:%20Microsoft%20Azure%20AI%20Fundamentals&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fai-900

Microsoft AI-900 Korean Exam Syllabus Topics:

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

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