AI-900: Microsoft Azure AI Fundamentals 6 Practice Exam 2026

AI-900: Microsoft Azure AI Fundamentals is a comprehensive course designed to provide individuals with a solid foundation in the field of artificial intelligence (AI) and its applications in the Microsoft Azure platform. This course is ideal for beginners who are interested in understanding the fundamental concepts of AI and how it can be leveraged to solve real-world problems.

This Practice Exam covers a wide range of topics, including the basics of AI, machine learning, and deep learning. Participants will learn about the different types of AI workloads and how they can be implemented using Azure AI services. They will also gain insights into the ethical considerations and responsible AI practices that need to be taken into account when developing AI solutions.

Through a combination of lectures, hands-on labs, and practical exercises, participants will acquire the necessary skills to design and implement AI solutions using Azure AI services. They will learn how to use Azure Cognitive Services to build intelligent applications that can understand, analyze, and interpret human language, images, and videos. Additionally, participants will gain knowledge on how to train and deploy machine learning models using Azure Machine Learning service.

Overall, the AI-900: Microsoft Azure AI Fundamentals course provides a comprehensive introduction to AI and its applications in the Microsoft Azure platform. By the end of the course, participants will have a solid understanding of the fundamental concepts of AI and the practical skills to develop AI solutions using Azure AI services. Whether you are a developer, data scientist, or IT professional, this course will equip you with the knowledge and skills needed to leverage the power of AI in your projects and drive innovation in your organization.

AI-900 : Microsoft Azure AI Fundamentals Exam details :

• Exam Name: Microsoft Certified - Azure AI Fundamentals

• Exam Code: AI-900

• Exam Price: $99 (USD)

• Number of Questions: Maximum of 40-60 questions,

• Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,

• Length of Test: 60 Minutes. The exam is available in English and Japanese languages.

• Passing Score: 700 / 1000

• Languages : English, Japanese, Korean, and Simplified Chinese

• Schedule Exam : Pearson VUE

AI-900 : Microsoft Azure AI Fundamentals Certification Exams skill questions:

Skill Measurement Exam Topics:-

• Describe Artificial Intelligence workloads and considerations (20–25%)

• Describe fundamental principles of machine learning on Azure (25–30%)

• Describe features of computer vision workloads on Azure (15–20%)

• Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)

##) Describe Artificial Intelligence workloads and considerations (20–25%)

Identify features of common AI workloads

• Identify features of anomaly detection workloads

• Identify computer vision workloads

• Identify natural language processing workloads

• Identify knowledge mining workloads

Identify guiding principles for responsible AI

• Describe considerations for fairness in an AI solution

• Describe considerations for reliability and safety in an AI solution

• Describe considerations for privacy and security in an AI solution

• Describe considerations for inclusiveness in an AI solution

• Describe considerations for transparency in an AI solution

• Describe considerations for accountability in an AI solution

##) Describe fundamental principles of machine learning on Azure (25–30%)

Identify common machine learning types

• Identify regression machine learning scenarios

• Identify classification machine learning scenarios

• Identify clustering machine learning scenarios

Describe core machine learning concepts

• Identify features and labels in a dataset for machine learning

• Describe how training and validation datasets are used in machine learning

Describe capabilities of visual tools in Azure Machine Learning Studio

• Automated machine learning

• Azure Machine Learning designer

##) Describe features of computer vision workloads on Azure (15–20%)

Identify common types of computer vision solution

• Identify features of image classification solutions

• Identify features of object detection solutions

• Identify features of optical character recognition solutions

• Identify features of facial detection and facial analysis solutions

Identify Azure tools and services for computer vision tasks

• Identify capabilities of the Computer Vision service

• Identify capabilities of the Custom Vision service

• Identify capabilities of the Face service

• Identify capabilities of the Form Recognizer service

##) Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)

Identify features of common NLP Workload Scenarios

• Identify features and uses for key phrase extraction

• Identify features and uses for entity recognition

• Identify features and uses for sentiment analysis

• Identify features and uses for language modeling

• Identify features and uses for speech recognition and synthesis

• Identify features and uses for translation

Identify Azure tools and services for NLP workloads

• Identify capabilities of the Language service

• Identify capabilities of the Speech service

• Identify capabilities of the Translator service

Identify considerations for conversational AI solutions on Azure

• Identify features and uses for bots

• Identify capabilities of Power Virtual Agents and the Azure Bot service

  
  

Microsoft Azure AI Fundamentals provides a robust and comprehensive platform for businesses and developers to leverage artificial intelligence capabilities. With services like Azure Machine Learning, Azure Cognitive Services, Azure Bot Services, and Azure Search, businesses can accelerate innovation, automate processes, and gain valuable insights. By embracing Microsoft Azure AI Fundamentals, organizations can stay ahead of the competition and unlock the full potential of AI technologies.