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AWS Certified Data Engineer - Associate: Complete Guide 2026
DEA-C01
The AWS Certified Data Engineer - Associate certification validates your ability to design, build, and maintain data pipelines on AWS. If you are preparing for exam DEA-C01, this AWS Certified Data Engineer - Associate overview is built for IT professionals targeting roles such as Data Engineer, Analytics Engineer, ETL Developer, and Big Data Engineer. The exam includes 65 questions in 170 minutes, requires a passing score of 720 out of 1000, and focuses on four core domains: Data Ingestion and Transformation (34%), Data Store Management (26%), Data Operations and Support (22%), and Data Security and Governance (18%). With cloud data engineering skills in high demand, this certification helps prove practical AWS knowledge that employers value across analytics, streaming, storage, and governance workloads.
Your company is building a real-time analytics platform to process IoT sensor data from thousands of devices. The data needs to be ingested into AWS for further processing and storage. The solution must handle high throughput, ensure low-latency ingestion, and allow for near real-time processing. Which of the following options would best meet these requirements?
A
Use Amazon Kinesis Data Streams to ingest the data and process it in real time.
B
Use AWS Glue to directly ingest and process the data from IoT devices.
C
Use Amazon S3 for real-time ingestion and processing of the data.
D
Use Amazon RDS to directly ingest the IoT data for real-time analytics.
Show answer and explanation
Correct answer: A
Explanation
For real-time ingestion and processing of high-throughput, low-latency data from IoT devices, Amazon Kinesis Data Streams is the ideal choice. It is designed to handle large-scale data ingestion and provides seamless integration with downstream analytics tools for near real-time processing. AWS Glue, Amazon S3, and Amazon RDS are not suitable for this scenario due to their lack of real-time ingestion capabilities or their primary focus on other use cases.
A. Correct.
Amazon Kinesis Data Streams is purpose-built for high-throughput, low-latency ingestion and real-time processing of data streams, making it the best option for this use case.
B. Incorrect.
AWS Glue is primarily used for ETL (Extract, Transform, Load) workflows and is not designed for real-time ingestion of high-throughput IoT data.
C. Incorrect.
Amazon S3 is a storage service and does not natively support real-time ingestion or processing of data streams.
D. Incorrect.
Amazon RDS is a relational database service and is not optimized for ingesting high-throughput, real-time IoT data streams.
You are working as a data engineer at a company that collects streaming data from IoT devices and ingests it into AWS for downstream analytics. The data needs to be ingested in near real-time and stored in a scalable and durable format for further processing. Which AWS service or combination of services would you choose to perform this data ingestion effectively?
A
Amazon Kinesis Data Streams
B
AWS Glue
C
Amazon S3 Batch Operations
D
Amazon Redshift
Show answer and explanation
Correct answer: A
Explanation
Amazon Kinesis Data Streams is the best choice for near real-time ingestion of streaming data, such as IoT device data, as it is designed to handle real-time data streams with high scalability and durability. Other services like AWS Glue, S3 Batch Operations, and Amazon Redshift serve different purposes and are not suitable for this use case.
A. Correct.
Amazon Kinesis Data Streams is purpose-built for ingesting and processing real-time streaming data, making it the correct choice for near real-time data ingestion from IoT devices.
B. Incorrect.
AWS Glue is primarily used for ETL (Extract, Transform, Load) operations and metadata management. While it is useful for data transformation, it is not ideal for real-time data ingestion.
C. Incorrect.
Amazon S3 Batch Operations is designed for large-scale operations on existing S3 objects, such as copying or tagging, and is not suitable for real-time or near real-time data ingestion.
D. Incorrect.
Amazon Redshift is a data warehouse service optimized for analytical queries but is not intended for real-time data ingestion.
A company wants to ingest large volumes of real-time IoT sensor data into AWS for downstream analytics. The incoming data is highly variable in structure and needs to be processed with minimal latency. Which AWS service or combination of services is the most suitable for this use case?
A
Amazon Kinesis Data Streams
B
AWS Glue
C
Amazon S3
D
Amazon Redshift
Show answer and explanation
Correct answer: A
Explanation
For real-time ingestion of large volumes of data, Amazon Kinesis Data Streams is the best choice as it is designed to handle streaming data with low latency. Other services like AWS Glue, Amazon S3, and Amazon Redshift serve complementary purposes but are not suitable for the real-time ingestion requirement specified in the scenario.
A. Correct.
Amazon Kinesis Data Streams is specifically designed for ingesting and processing real-time data with minimal latency, making it ideal for this scenario.
B. Incorrect.
AWS Glue is primarily used for ETL (Extract, Transform, Load) operations and schema generation but is not suitable for real-time data ingestion.
C. Incorrect.
Amazon S3 is a storage service and does not provide real-time ingestion capabilities. It is better suited for storing data after it has been ingested.
D. Incorrect.
Amazon Redshift is a data warehouse and is designed for querying structured data at scale, not for real-time data ingestion.
Exam Content
Exam Domains & Topics
Master these 4 domains to pass your exam
1
Data Ingestion and Transformation
34%
2
Data Store Management
26%
3
Data Operations and Support
22%
4
Data Security and Governance
18%
Who Should Take This Exam?
IT professionals seeking Amazon Web Services (AWS) expertise
The AWS Certified Data Engineer - Associate (DEA-C01) validates your ability to implement data pipelines, manage data stores, and maintain data solutions on AWS. This certification demonstrates expertise in ingesting, transforming, and securing data using AWS services, making it valuable for professionals pursuing data engineering roles in cloud environments.
Week 1-2
Foundation and Data Ingestion Basics
Establish core AWS knowledge and begin exploring data ingestion services
There are no strict formal prerequisites for the AWS Certified Data Engineer - Associate certification. However, Amazon Web Services (AWS) recommends having foundational knowledge of data & analytics concepts and some hands-on experience before attempting the exam. Candidates who invest time in study materials and practice exams typically perform best.
FAQ
AWS Certified Data Engineer - Associate FAQs
Common questions about the DEA-C01 certification exam
The AWS Certified Data Engineer - Associate is a professional certification offered by Amazon Web Services (AWS) that validates your expertise in the relevant technology domain. The exam code is DEA-C01. This certification demonstrates your ability to design, implement, and manage solutions using Amazon Web Services (AWS) technologies.
The AWS Certified Data Engineer - Associate exam typically contains 65 questions. These questions are a mix of multiple-choice and scenario-based questions designed to test both theoretical knowledge and practical application.
The passing score for the AWS Certified Data Engineer - Associate exam is 720/1000. Note that Amazon Web Services (AWS) uses a scaled scoring system, so focus on understanding all exam domains thoroughly rather than just achieving the minimum score.
The AWS Certified Data Engineer - Associate exam duration is 170 minutes (3 hours). This includes time for reviewing your answers. We recommend practicing with timed mock exams to manage your time effectively.
The AWS Certified Data Engineer - Associate exam costs $150. Prices may vary by region and are subject to change. Amazon Web Services (AWS) occasionally offers discounts or voucher programs for certification exams.
The AWS Certified Data Engineer - Associate certification is valid for 3 years. To maintain your certification, you'll need to recertify before it expires, either by passing the current exam version or through Amazon Web Services (AWS)'s continuing education program.
While Amazon Web Services (AWS) doesn't always require formal prerequisites, we recommend having hands-on experience with the relevant technologies. Familiarity with core concepts and practical experience will significantly improve your chances of passing the exam.
Yes, the AWS Certified Data Engineer - Associate exam is proctored and can be taken either at a testing center or online through remote proctoring. Online proctoring allows you to take the exam from home while being monitored via webcam. Ensure you have a quiet, private space with a stable internet connection if choosing the online option.
If you don't pass the AWS Certified Data Engineer - Associate exam on your first attempt, you can retake it. Amazon Web Services (AWS) typically has a waiting period between attempts (usually 14 days for the first retake). Use this time to review the areas where you struggled and take additional practice exams.
To prepare for the AWS Certified Data Engineer - Associate exam, we recommend: 1) Review the official exam guide and objectives, 2) Gain hands-on experience with the technologies, 3) Use practice exams to identify knowledge gaps, 4) Study each exam domain thoroughly, and 5) Join study groups or forums to discuss challenging topics with other candidates.
About the AWS Certified Data Engineer - Associate Certification
The AWS Certified Data Engineer - Associate (DEA-C01) is a associate-level certification offered by Amazon Web Services (AWS). This certification validates your expertise in data & analytics and is recognized globally by employers seeking qualified professionals. The exam consists of 65 questions to be completed in 170 minutes, with a passing score of 720/1000. The exam fee is $150, and the certification is valid for 3 years.
Why Get AWS Certified Data Engineer - Associate Certified?
Career Advancement: Certified professionals earn an average of $140,000 per year. Amazon Web Services (AWS)-certified professionals are among the most sought-after in the data & analytics industry.
Industry Recognition: Amazon Web Services (AWS) certifications are respected worldwide by employers, demonstrating verified competency in data & analytics technologies and practices.
Skill Validation: The AWS Certified Data Engineer - Associate exam rigorously tests your knowledge across 4 domains, ensuring you have the practical skills employers demand.
AWS Certified Data Engineer - Associate Exam Format & Details
The DEA-C01 exam is designed to test both theoretical knowledge and practical application. Candidates are given 170 minutes to complete the exam, which contains approximately 65 questions. A score of 720/1000 is required to pass. As an associate-level certification, it requires a solid understanding of the core technologies and some hands-on experience.
Exam Domains & Topics
The AWS Certified Data Engineer - Associate exam covers 4 key domains. Understanding the weight of each domain helps you allocate your study time effectively:
Data Ingestion and Transformation (34% of exam)
Data Store Management (26% of exam)
Data Operations and Support (22% of exam)
Data Security and Governance (18% of exam)
Who Should Take the AWS Certified Data Engineer - Associate Exam?
This certification is designed for professionals in the following roles:
IT professionals seeking Amazon Web Services (AWS) expertise
Data & Analytics practitioners looking to validate their skills
Professionals preparing for a career in data & analytics
Technical specialists aiming to advance their career with an industry-recognized credential
Team leads and managers who need to understand data & analytics concepts
Career Opportunities & Salary
Earning the AWS Certified Data Engineer - Associate certification opens doors to roles such as Data Engineer, Analytics Engineer, ETL Developer, Big Data Engineer. Certified professionals earn an average salary of $140,000 per year, reflecting the high demand for data & analytics skills in today's job market.
Recertification & Renewal
The AWS Certified Data Engineer - Associate certification is valid for 3 years. To maintain your credential, you will need to meet Amazon Web Services (AWS)'s renewal requirements before your certification expires. This may include earning continuing education credits, passing a recertification exam, or earning a higher-level certification.
Exam Registration & Cost
The DEA-C01 exam costs $150. You can register through Amazon Web Services (AWS)'s official website or an authorized testing center. Most candidates choose between in-person testing at a Pearson VUE or PSI center and online proctored exams taken from home. Be sure to review the exam policies, including identification requirements and prohibited items, before your test date.
How to Prepare for DEA-C01
Most candidates need 4-8 weeks of dedicated study to prepare for the AWS Certified Data Engineer - Associate exam. Start by reviewing the official exam objectives, then work through each domain systematically. Regular practice with exam-style questions is essential for building confidence and identifying weak areas. Combine reading with hands-on practice to develop both theoretical knowledge and practical skills.
HydraNode publishes 549 free DEA-C01 practice questions with answers and explanations, plus a timed practice exam drawn from the same bank. Every question is written to the published objectives, so what you practise matches the format and difficulty of the actual DEA-C01 exam.
