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AI-901 Simulation Exam: Azure AI Fundamentals - QCM
New

AI-901 Simulation Exam: Azure AI Fundamentals - QCM

Intensive QCM Practice and Mock Exam Simulator for Azure AI Certification - AI901
New
Created byMK Formations PRO
Last updated 6/2026
English

What you'll learn

  • Practice the official domains of the Azure AI Fundamentals (AI-901) through commented QCM and detailed explanations.
  • Recognize AI workload scenarios and responsible AI principles as they appear in real AI-901 exam questions.
  • Master the concepts of Machine Learning, Computer Vision, and NLP to respond with confidence to certification QCM.
  • Understand Generative AI and Azure OpenAI services through real-world situation questions.
  • Evaluate your final preparation level through timed simulations reflecting real exam conditions.

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Included in This Course

620 questions

  • Mock Exam 1105 questions
  • Mock Exam 2105 questions
  • Mock Exam 3104 questions
  • Mock Exam 4103 questions
  • Mock Exam 5102 questions
  • Mock Exam 6101 questions

Description

Azure AI Fundamentals (AI‑901) Simulator

Prepare effectively for the Azure AI Fundamentals (AI‑901) exam with a simulator composed exclusively of realistic QCM, designed to accurately reflect the difficulty, logic, and scenarios encountered during the official exam.

This tool contains no long theory — it focuses solely on what really makes the difference on the big day : intensive practice.

Simulator Content

You will find hundreds of questions covering all domains of the AI‑901 syllabus :

  1. AI Workloads and Considerations Technical evaluation of fundamental AI principles and responsible AI guidelines.

  2. Fundamental Principles of Machine Learning on Azure Evaluation of regression, classification, and clustering techniques within the Azure environment.

  3. Features of Computer Vision Workloads on Azure Technical focus on image analysis, OCR, and facial detection assessments.

  4. Features of Natural Language Processing (NLP) Workloads on Azure Practice scenarios for sentiment analysis, entity recognition, and translation logic.

  5. Features of Generative AI Workloads on Azure Evaluation of LLM capabilities, prompt engineering, and Azure OpenAI service integration.

Methodology

Each question is accompanied by a detailed correction analyzing :

  • the relevance of the correct answer,

  • the traps of the distractors,

  • the analytical reflexes to master for the exam.

It is the indispensable final revision tool to guarantee your success on the day of the test.

Who this course is for:

  • Candidates preparing for the official Azure AI Fundamentals (AI-901) certification exam.
  • Technical professionals seeking to validate their AI knowledge through practical evaluation.
  • Technical professionals seeking to validate their AI knowledge through practical evaluation.
  • Individuals requiring a final assessment tool to test their readiness before the official test.

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