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AI-900: Azure AI Fundamentals Practice Exams (Feb 2026)

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.

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(18 reviews)

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)

  1. AI Workloads & Responsible AI (15-20%): Guiding principles and the AI lifecycle.

  2. Fundamental Principles of ML on Azure (20-25%): Regression, Classification, Clustering and AutoML.

  3. Computer Vision Workloads (15-20%): Azure AI Vision, Face and Document Intelligence.

  4. Natural Language Processing (15-20%): Azure AI Language, Speech and Translator.

  5. Generative AI Workloads (15-20%): Azure OpenAI, Prompt Flow,and RAG.


Olatinwo Goodness

Olatinwo Goodness

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