Last Updated on May 21, 2026
Amazon AWS Certified Data Engineer - Associate (DEA-C01) certification exam guide is designed to help you master essential data engineering skills on AWS, boosting your career development and job prospects. This certification validates your ability to design, build, and maintain data solutions on the AWS platform. To succeed, thorough exam preparation with reliable study materials and practice questions is crucial. Our guide offers comprehensive resources to build foundational knowledge and confidence. Focus on hands-on experience with AWS services, consistent practice, and understanding exam objectives to clear the exam efficiently and advance your career. — Tharun Kumar and John Ellis, Technology Consultants @nxtexam
Find answers to common questions about AWS Certified Data Engineer - Associate (DEA-C01) Certification. If you need additional help, our support team is always here to assist you with your certification journey.
The AWS Certified Data Engineer - Associate (DEA-C01) certification validates an individual’s ability to design, implement, manage, and secure data workflows on the AWS platform. It is tailored for professionals looking to demonstrate expertise in data engineering roles.
The AWS Certified Data Engineer certification is designed for professionals working in data engineering, data analysis, or cloud computing. It’s ideal for individuals who want to showcase their ability to work with AWS data storage, transformation, and analysis services.
While there are no strict prerequisites, it is recommended that candidates have experience with AWS services and a basic understanding of data engineering concepts such as data lakes, ETL processes, and data pipelines.
The exam covers a range of topics including data collection, data storage, data transformation, data analysis, and security. It also focuses on AWS services such as Amazon S3, AWS Glue, Amazon Redshift, and AWS Data Pipeline.
Preparation for the AWS Certified Data Engineer exam involves studying AWS documentation, taking online courses, and gaining hands-on experience with AWS data services. Practice exams and real-world projects can also help reinforce your knowledge.
The AWS Certified Data Engineer - Associate exam consists of multiple-choice and multiple-response questions. The exam lasts 180 minutes and contains approximately 65 questions.
The AWS Certified Data Engineer - Associate exam costs $150 USD. Be sure to check the official AWS certification website for the latest pricing and any regional variations.
To pass the AWS Certified Data Engineer - Associate exam, you need a score of 700 or above on a scale of 1000 points. The passing score may vary slightly depending on the exam version.
The AWS Certified Data Engineer - Associate certification is valid for three years. After that period, you can renew your certification by passing a new exam or achieving a higher-level certification.
You can register for the AWS Certified Data Engineer - Associate exam through the AWS Certification website. Exams are available through Pearson VUE or via online proctoring.
Earning the AWS Certified Data Engineer certification can boost your career by demonstrating your ability to design and implement data solutions on AWS. It can lead to better job opportunities and higher earning potential in the data engineering field.
Yes, you can retake the AWS Certified Data Engineer - Associate exam if you don’t pass. However, you must wait at least 14 days before attempting the exam again.
Resources for preparing for the AWS Certified Data Engineer exam include AWS whitepapers, official AWS training, practice exams, online courses, and hands-on experience with AWS data services.
The AWS Certified Data Engineer - Associate exam is considered moderately difficult. It requires a solid understanding of AWS services related to data engineering, along with practical experience in building data workflows and solutions.
The AWS Certified Data Engineer certification enhances your career by validating your expertise in data engineering on AWS. It increases your job prospects, makes you more competitive in the job market, and provides opportunities for growth in cloud computing and data management roles.