Microsoft AI-900 Exam Syllabus

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Before starting your AI-900 exam preparation, it is recommended to review the complete Microsoft Azure AI Fundamentals exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free AI-900 questions. We also provide premium AI-900 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Microsoft AI-900 Exam Objectives

Section	Weight	Objectives
Describe Artificial Intelligence workloads and considerations	15-20%	Identify features of common AI workloads Identify guiding principles for responsible AI
Describe fundamental principles of machine learning on Azure	20-35%	Identify common machine learning techniques Describe core machine learning concepts Describe Azure Machine Learning capabilities
Describe features of computer vision workloads on Azure	15-20%	Identify common types of computer vision solution Identify Azure tools and services for computer vision tasks
Describe features of Natural Language Processing (NLP) workloads on Azure	15-20%	Identify features of common NLP Workload Scenarios Identify Azure tools and services for NLP workloads
Describe features of generative AI workloads on Azure	15-20%	Identify features of generative AI solutions Identify capabilities of Azure OpenAI Service
Official Information		https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

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