Microsoft Azure AI Fundamentals AI-900 — Practice Questions
Microsoft Azure AI Fundamentals AI-900 — Practice Tests
Microsoft Azure AI Fundamentals AI-900 — Flashcards
Acronyms, terms, and other helpful info in matching mode, flashcard mode and more.
Learn the fundamentals of Artificial Intelligence, Machine Learning, and Deep Learning with clear, concise flashcards. Cover key concepts like supervised, unsupervised, and reinforcement learning, as well as fairness, transparency, and accountability in AI. Perfect for beginners or anyone wanting a simple breakdown of core AI principles, tasks, and methods.
Learn key Azure AI services, including machine learning tools, cognitive services like Vision, Speech, Language, and Decision APIs, chatbot creation, document processing, real-time translation, and principles of Responsible AI. Simplify your understanding of Azure's AI ecosystem with essential concepts and real-world applications.
Learn key concepts of Azure AI with flashcards focused on data preprocessing, model training, deployment, and evaluation. Understand terms like feature transformation, hyperparameter tuning, pipelines, and Responsible AI. Covers essential AI practices such as cleaning data, feature engineering, splitting datasets, and avoiding overfitting. Perfect for mastering Azure Machine Learning concepts and building robust AI solutions.
Microsoft Azure AI Fundamentals AI-900 Overview
The Microsoft Certified: Azure AI Fundamentals (AI-900) exam is an entry-level certification designed for individuals seeking foundational knowledge of artificial intelligence (AI) and machine learning (ML) concepts and their applications within the Microsoft Azure platform. The AI-900 exam covers essential AI workloads such as anomaly detection, computer vision, and natural language processing, and it emphasizes responsible AI principles, including fairness, transparency, and accountability. While no deep technical background is required, a basic familiarity with technology and Azure’s services can be helpful, making this certification accessible to a wide audience, from business decision-makers to early-career technologists.
The exam covers several major domains, starting with AI workloads and considerations, which introduces candidates to various types of AI solutions and ethical principles. Next, it delves into machine learning fundamentals, explaining core concepts like data features, model training, and types of machine learning such as classification and clustering. The exam also emphasizes specific Azure tools for implementing AI solutions, such as Azure Machine Learning Studio for visual model-building, the Computer Vision service for image analysis, and Azure Bot Service for conversational AI. Additionally, candidates learn how natural language processing (NLP) tasks, including sentiment analysis, translation, and speech recognition, are managed within Azure’s language and speech services.
Achieving the AI-900 certification demonstrates a solid understanding of AI and ML basics and prepares candidates for more advanced Azure certifications in data science or AI engineering. It’s an excellent credential for those exploring how AI solutions can be effectively used within the Azure ecosystem, whether to aid business decision-making or to set a foundation for future roles in AI and data analytics.
Microsoft Azure AI Fundamentals AI-900 Exam Details
Supported Languages |
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The AI-900 exam is offered in multiple languages, including English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), and Italian. |
Recommended Experience |
No prior experience is required; the exam is designed for individuals with both technical and non-technical backgrounds. Familiarity with basic cloud concepts and Azure services is beneficial. |
Questions |
The exam consists of 40 to 60 multiple-choice questions. |
Passing Score |
The passing score is 700 out of 1000. |
Exam Duration |
You have 45 minutes to complete the exam. |