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AI-900: Azure AI Fundamentals ...AI-900: Azure AI F...

AI-900: Azure AI Fundamentals Practice Exams (Feb 2026)
Pass the AI-900 Exam with 6 Full Practice Tests. Updated for February 2026 with Generative AI & Detailed Explanations.
Are you ready to pass the Microsoft Azure AI Fundamentals (AI-900) exam on your first attempt?
As of February 2026, Microsoft has significantly increased the focus on Generative AI and the new Azure AI Foundry platform. Standard practice tests from a year ago are no longer enough. This course provides high-fidelity, scenario-based practice questions that mirror the actual difficulty and structure of the official exam.
This course is designed for both technical and non-technical backgrounds. Whether you are a business leader, a developer, or a student, these exams will validate your knowledge of AI workloads and how to implement them responsibly using Azure’s latest tools.
What’s New in the 2026 Update?
Azure AI Foundry & Studio: Understanding the unified environment for AI development.
Generative AI Deep Dive: Questions on Large Language Models (LLMs), Tokens, Temperature and Grounding.
Retrieval-Augmented Generation (RAG): Modern architecture for private data.
Responsible AI (Strict Guardrails): Enhanced focus on Transparency, Fairness and Content Safety.
What You'll Get
Unique Practice Questions: Divided into full-length sets.
Detailed Explanations: We don't just tell you the right answer; we explain why it's correct and why the distractors are wrong, citing specific Azure services.
Scenario-Based Learning: Questions based on real-world business problems (Retail, Healthcare, Finance).
Exam Simulator: Timed tests to help you manage your pace.
Mobile-Ready: Study on the go with the Udemy app.
Exam Domain Coverage (2026 Objectives)
AI Workloads & Responsible AI (15-20%): Guiding principles and the AI lifecycle.
Fundamental Principles of ML on Azure (20-25%): Regression, Classification, Clustering and AutoML.
Computer Vision Workloads (15-20%): Azure AI Vision, Face and Document Intelligence.
Natural Language Processing (15-20%): Azure AI Language, Speech and Translator.
Generative AI Workloads (15-20%): Azure OpenAI, Prompt Flow,and RAG.

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