AWS Certified Developer Associate - Practice Exams
Description
AWS Certified Developer Associate
Prepare confidently for the AWS Certified Developer Associate certification with this professionally curated course featuring six full-length mock exams. Designed for developers, cloud engineers, and IT professionals aiming to validate their expertise in AWS development practices, this course offers a practical and effective approach to exam readiness.
Each mock exam closely mirrors the format, difficulty level, and topic distribution of the actual certification exam. The questions are strategically crafted to assess your knowledge of key AWS services, such as AWS Lambda, API Gateway, DynamoDB, S3, and Step Functions, as well as core topics like application integration, deployment, security, monitoring, and troubleshooting within AWS environments.
All questions are accompanied by detailed explanations that clarify the reasoning behind the correct answers. These explanations are designed to deepen your understanding of AWS services, development best practices, and architectural patterns, while also reinforcing important concepts frequently tested in the exam.
Whether you are attempting the certification for the first time or looking to strengthen your AWS development skills, this course provides an excellent foundation. By completing these mock exams, you will build the confidence, accuracy, and problem-solving skills necessary to succeed on the AWS Certified Developer – Associate exam and thrive in real-world AWS development roles.
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:
- Cloud Application Developers
- Software Engineers and Programmers
- DevOps Engineers
- Backend and Full-Stack Developers
- Technical Leads and Software Architects
- Cloud Engineers and Cloud Consultants
- IT Professionals Pursuing AWS Certifications
- Recent Graduates and Career Changers
Instructor
- 4.4 Instructor Rating
- 12,016 Reviews
- 439,772 Students
- 146 Courses
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.
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