
Exam AI-900: Microsoft Azure AI Fundamentals - Mock Exams
Description
Microsoft Certified: Azure AI Fundamentals
Prepare with confidence for the AI-900: Microsoft Azure AI Fundamentals certification exam through this expertly designed mock exam course. Tailored for aspiring AI professionals, IT practitioners, and business decision-makers, this course offers six full-length mock exams that mirror the structure, difficulty, and content areas of the official AI-900 certification.
The AI-900 exam validates foundational knowledge of artificial intelligence (AI) and machine learning (ML) concepts and how they are implemented using Microsoft Azure services. This course covers all core domains of the exam, including AI workloads and considerations, fundamental principles of machine learning, computer vision, natural language processing (NLP), and conversational AI on Azure.
Each mock exam includes a variety of question types that test both conceptual understanding and practical application. Comprehensive explanations accompany every question, enabling learners to understand the rationale behind each correct answer and reinforcing key topics essential for exam success. These explanations are designed not only to clarify the correct choices but also to build a solid foundation in Azure AI services and capabilities.
Whether you are preparing for your first attempt or looking to assess your knowledge before taking the official exam, this course serves as a critical resource. Strengthen your readiness, deepen your understanding, and take the next step toward achieving your Microsoft Azure AI Fundamentals certification.
Can I retake the practice tests?
Yes, you can attempt each practice test as many times as you like. After completing a test, you'll see your final score. Each time you retake the test, the questions and answer choices will be shuffled for a fresh experience.
Is there a time limit for the practice tests?
Yes, each test includes a time limit of 120 seconds per question.
What score do I need to pass?
You need to score at least 70% on each practice test to pass.
Are explanations provided for the questions?
Yes, every question comes with a detailed explanation.
Can I review my answers after the test?
Absolutely. You’ll be able to review all your submitted answers and see which ones were correct or incorrect.
Are the questions updated frequently?
Yes, the questions are regularly updated to provide the best and most relevant learning experience.
Additional Note: It’s highly recommended that you take the practice exams multiple times until you're consistently scoring 90% or higher. Don’t hesitate—start your preparation today. Good luck!
Who this course is for:
- Business and Technical Decision Makers
- Software Developers and Data Professionals
- Early-Career IT Professionals and Students
- Non-Technical Professionals with Interest in AI
- Cloud Enthusiasts and Career Changers
Instructor
EN
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
Enthusiast of new technologies, particularly in the areas of artificial intelligence, the Python language, big data and cloud solutions. Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization. Master's degree graduate in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics. Since 2015, a licensed Securities Broker with the right to provide investment advisory services (license number 3073). Lecturer at the GPW Foundation, conducting training for investors in the field of technical analysis, behavioral finance, and principles of managing a portfolio of financial instruments.
Founder at e-smartdata
PL
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
Jestem miłośnikiem nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python big data oraz rozwiązań chmurowych. Posiadam stopień absolwenta podyplomowych studiów na kierunku Informatyka, specjalizacja Big Data w Polsko-Japońskiej Akademii Technik Komputerowych oraz magistra z Matematyki Finansowej i Aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego. Od 2015 roku posiadam licencję Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073). Jestem również wykładowcą w Fundacji GPW prowadzącym szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych. Mam doświadczenie w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką. Moje główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
Założyciel platformy e-smartdata