
AI-102: Microsoft Azure AI Engineer Associate - Mock Exams
Description
Microsoft Certified: Azure AI Engineer Associate
Prepare thoroughly for the AI-102 certification with this professionally developed mock exam course. Designed for aspiring and practicing Azure AI Engineers, this course features six full-length mock exams that closely mirror the structure, difficulty, and content domains of the official Microsoft AI-102 exam. Whether you're preparing for your first certification attempt or seeking to reinforce your skills, this resource is an essential component of your study strategy.
The exams comprehensively cover all areas of the AI-102 exam blueprint, including planning and managing Azure Cognitive Services, implementing computer vision and natural language processing (NLP) solutions, integrating conversational AI, and deploying AI models securely and responsibly. Each question has been carefully crafted to test your real-world problem-solving skills and your ability to design AI solutions using Azure tools and services.
Every question is paired with a detailed explanation of the correct answer, offering valuable insights into Microsoft best practices and reasoning behind each solution. These explanations help solidify your understanding of Azure AI concepts and ensure you're not just memorizing answers but truly mastering the content.
By completing all six mock exams, you'll gain the confidence, technical knowledge, and strategic thinking required to pass the AI-102 certification exam and succeed as a Microsoft Azure AI Engineer Associate.
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:
- AI Engineers and Machine Learning Practitioners
- Data Scientists and Data Engineers
- Software Developers and Application Engineers
- Cloud Solutions Architects
- IT Professionals with a Focus on AI and Cloud
- DevOps Engineers Supporting AI Workloads
- Technical Consultants and Solution Integrators
- Business Intelligence (BI) Developers and Analysts
- Technology Managers and Team Leads
- Aspiring AI Professionals 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