
AWS Certified Data Engineer Associate (DEA-C01) - Mock Exams
Description
AWS Certified Data Engineer Associate
Prepare with confidence for the AWS Certified Data Engineer Associate exam through this comprehensive mock exam course. Tailored for aspiring and current data engineers, cloud professionals, and IT practitioners, this course features six full-length mock exams designed to mirror the format, difficulty, and content coverage of the official DEA-C01 certification exam.
Each exam includes a variety of scenario-based and concept-focused questions that span the core domains of the certification, including data ingestion, storage, transformation, governance, and security within the AWS ecosystem. You will be challenged on key services such as Amazon S3, AWS Glue, Amazon Redshift, AWS Lake Formation, Amazon Kinesis, AWS Lambda, and others—ensuring you're well-prepared to demonstrate your practical knowledge and strategic understanding of modern data engineering practices.
What sets this course apart is the inclusion of detailed explanations for every answer, helping you not only identify the correct choices but also understand the reasoning behind them. These insights enable you to reinforce your technical skills, recognize patterns in question design, and improve your decision-making under exam conditions.
Whether you are finalizing your preparation or assessing your readiness, this course provides the rigorous practice needed to pass the AWS DEA-C01 exam with confidence and advance your career in cloud data engineering.
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:
- Data Engineers
- Cloud Data Architects
- ETL Developers
- Big Data Engineers
- Data Platform Engineers
- Cloud Engineers and Developers
- DevOps Engineers Supporting Data Workloads
- IT Professionals Transitioning to Data Roles
- Data Analysts and BI Developers
- Individuals Preparing for Advanced AWS Certifications
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