Overview
check if you are ready to pass AI-102: Microsoft Certified: Azure AI Engineer Associate exam, perform 6 practice tests, answer 300 questions, review all submitted responses and check explanations
IT professionals aspiring to become Azure AI Engineer Associates and looking to practice and assess their knowledge before taking the certification exam., Students or recent graduates with a background in computer science or related fields who want to validate their AI and Azure skills through certification., Current Azure professionals aiming to expand their expertise into the AI domain and obtain the Azure AI Engineer Associate certification., Developers with experience in machine learning and AI who want to specialize in Azure's AI services and validate their skills., Individuals with prior experience in AI and Azure who are seeking a career transition or advancement by obtaining the Microsoft Certified: Azure AI Engineer Associate certification.
Understanding of Microsoft Azure services and concepts, Familiarity with machine learning concepts and techniques, A strong grasp of data science, Familiarity with Azure Cognitive Services, Knowledge of Azure Machine Learning services, Understanding how to work with Azure Databricks
Expertly crafted course designed to thoroughly prepare IT professionals and aspiring AI engineers for the Azure AI Engineer Associate certification. This course meticulously simulates the real certification exam environment, providing participants with a realistic experience of the actual exam.
Each mock exam in the course covers a wide range of topics, including Azure Machine Learning, AI services, and knowledge mining solutions, ensuring a deep and broad understanding of the Azure AI ecosystem. The questions are curated to reflect the complexity and style of the official exam, focusing on practical applications and scenario-based problem-solving to test both theoretical knowledge and practical skills.
This course is not just about answering questions; it provides detailed explanations for each answer, helping learners understand the 'why' behind each solution. This approach enhances conceptual clarity and aids in long-term retention of information.
With regular updates to keep pace with Microsoft's evolving AI technologies and exam patterns, this course is an invaluable resource for anyone aiming to achieve the Azure AI Engineer Associate certification. It's ideal for IT professionals seeking to validate their expertise in designing, implementing, and monitoring AI solutions on Microsoft Azure.
Is it possible to take the practice test more than once?
Certainly, you are allowed to attempt each practice test multiple times. Upon completion of the practice test, your final outcome will be displayed. With every attempt, the sequence of questions and answers will be randomized.
Is there a time restriction for the practice tests?
Indeed, each test comes with a time constraint of 120 seconds for each question.
What score is required?
The target achievement threshold for each practice test is to achieve at least 70% correct answers.
Do the questions have explanations?
Yes, all questions have explanations for each answer.
Am I granted access to my responses?
Absolutely, you have the opportunity to review all the answers you submitted and ascertain which ones were correct and which ones were not.
Are the questions updated regularly?
Indeed, the questions are routinely updated to ensure the best learning experience.
Additional Note: It is strongly recommended that you take these exams multiple times until you consistently score 90% or higher on each test. Take the challenge without hesitation and start your journey today. Good luck!
Paweł Krakowiak
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
Data Scientist, Securities Broker
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
IG: e_smartdata