Overview
Simulate the full-length AWS Certified Data Engineer Associate exam experience, Understand Core AWS Services for Data Engineering, Implement Data Storage Solutions, Develop and Optimize Data Processing Solutions, Design Data Lakes and Analytical Solutions, Automate and Orchestrate Data Workflows
Professionals who aspire to build or advance their careers in the field of data engineering on the AWS cloud platform.
2-3 years of experience in data engineering, 1-2 years of hands-on experience with AWS services, Our associated prep course will prepare you for this and the real exam
Ace Your AWS DEA-C01 Exam with Expert-Crafted Practice Tests
Prepare to succeed on the AWS Certified Data Engineer Associate exam with the unparalleled expertise of Sundog Education. Our practice exams are the culmination of real-world experience and educational excellence, designed to elevate your exam preparation. As a supplement to our comprehensive prep course also available on Udemy, these practice tests are your key to mastering the exam content with confidence.
What's Included:
Three Rigorous Full-Length Practice Exams: Each containing 65 carefully crafted questions that reflect the structure and rigor of the actual AWS Certified Data Engineer Associate exam.
In-Depth Explanations for Every Question: Understand the "why" behind each correct answer, with detailed explanations that deepen your knowledge and insight.
Authored by Sundog Education: Created by the Sundog Education team, leveraging their 9 years of experience at Amazon headquarters and a track record of teaching over one million students globally. Our insights ensure you're learning from seasoned professionals.
Real-World Relevance: Questions based on practical scenarios that AWS data engineers face, ensuring you're prepared for real-life challenges, not just exam questions.
Immediate Feedback: Get instant results on your practice exams, allowing you to pinpoint areas for improvement and measure your progress effectively.
Perfect For:
This course is specially designed for individuals aiming for the AWS Certified Data Engineer Associate certification and is ideal for:
Participants of our associated comprehensive AWS prep course on Udemy, or those with equivalent foundational AWS knowledge.
Learners seeking a deep, practical understanding of AWS data engineering, backed by detailed explanations and real-world applications.
Professionals who value learning from experienced instructors with a proven track record of success in both education and industry.
Why Enroll in These Exams:
Leverage Expert Knowledge: Benefit from the Sundog Education team's extensive experience at Amazon and their success in educating over one million students.
Efficient and Focused Study: Our practice exams are designed to maximize your study time, focusing on areas essential for exam success and career advancement.
Flexible and Convenient Learning: With Udemy's user-friendly platform, you can study at your own pace, fitting exam preparation into your busy schedule.
Holistic Exam Preparation: In combination with our comprehensive AWS prep course, these practice exams provide a thorough approach to mastering the exam's content and the field of AWS data engineering.
Join Now
Empower your AWS certification journey with the expertise of Sundog Education. Enroll today to take a significant step towards becoming a certified AWS Data Engineer Associate and advancing your career with the confidence and knowledge to succeed.
Sundog Education by Frank Kane
Sundog Education's mission is to make highly valuable career skills in data engineering, data science, generative AI, AWS, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford.
Sundog Education is led by Frank Kane and owned by Frank's company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. As an Amazon “bar raiser,” he held veto authority over hiring decisions across the company, interviewed over 1,000 candidates, and hired and managed hundreds. He holds 26 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own company, Sundog Software, which has taught over one million students around the world about machine learning, data engineering, and managing engineers.