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Microsoft - AI-900 Certification Exam Details, Questions and Answers

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AI-900: Microsoft Azure AI Fundamentals

Number of questions (in our database)


Updated on

31 March 2024
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Understanding Bot Services Introduction to AI-900 Understanding AI concepts Understanding Azure Cognitive Services Understanding Azure Cognitive Search Understanding Azure Machine Learning

AI-900: Microsoft Azure AI Fundamentals Exam Details

Exam Overview

The AI-900: Microsoft Azure AI Fundamentals exam is designed to validate foundational knowledge of artificial intelligence (AI) and machine learning (ML) concepts in the context of Microsoft Azure services. This exam is part of the Microsoft Certified: Azure AI Fundamentals certification.

Importance of the Exam

Passing the AI-900 exam demonstrates that you understand the key components that make up the Azure AI portfolio and their use cases. This certification is an excellent way to validate your knowledge and enhance your credibility in the fast-growing field of artificial intelligence.

Technical Details

The AI-900 exam focuses primarily on the use of AI/ML capabilities in Microsoft Azure. It covers AI workloads and considerations, fundamental principles of machine learning on Azure, features of computer vision workloads on Azure, and natural language processing workloads on Azure.

Exam Measured Skills

  • Understanding of AI workloads and considerations
  • Fundamental principles of machine learning on Azure
  • Features of computer vision workloads on Azure
  • Natural language processing workloads on Azure

Preparation Advices

Microsoft provides various resources to prepare for the AI-900 exam. These include online training and study guides offered by Microsoft Learning, as well as practice tests to assess your readiness. It is also beneficial to get hands-on experience with Azure AI services.

Exam Topics

  • Understanding Bot Services (10% - 15%)

    • Overview of Bot Services
    • Creating a bot using Azure Bot Service
    • Integrating bots with other Azure services
    • Bot deployment and management
  • Introduction to AI-900 (10% - 15%)

    • Understanding AI-900 exam objectives
    • Overview of Azure AI services
  • Understanding AI concepts (15% - 20%)

    • Overview of machine learning
    • Supervised and unsupervised learning
    • Reinforcement learning
    • Deep learning
    • Natural language processing
    • Computer vision
    • Knowledge mining
    • Conversational AI
  • Understanding Azure Cognitive Services (20% - 25%)

    • Overview of Azure Cognitive Services
    • Computer Vision
    • Speech Services
    • Language Understanding
    • QnA Maker
    • Translator Text
    • Anomaly Detector
    • Form Recognizer
    • Custom Vision
    • Metrics Advisor
    • Personalizer
    • Content Moderator
    • Bing Search
  • Understanding Azure Cognitive Search (10% - 15%)

    • Overview of Azure Cognitive Search
    • Creating an Azure Cognitive Search service
    • Indexing and querying data
    • Customizing search results
    • Monitoring and managing Azure Cognitive Search
  • Understanding Azure Machine Learning (25% - 30%)

    • Overview of Azure Machine Learning
    • Azure Machine Learning designer
    • Azure Machine Learning pipelines
    • Azure Machine Learning models
    • Azure Machine Learning compute
    • Azure Machine Learning deployment
    • Automated machine learning