Preporato

AWS Certified Data Engineer - Associate Certification Guide 2026

DEA-C01AssociateAmazon Web Services (AWS)

Validates ability to design, build, and maintain data pipelines on AWS. Covers data ingestion, transformation, storage optimization, security, and governance using AWS data analytics services.

Build the Data Infrastructure of Tomorrow

The most in-demand certification for modern data professionals

$140K
Average Salary
US certified data engineers
30%
Salary Premium
vs non-certified data engineers
#1
Fastest Growing
Tech role by demand
74%
Report Career Growth
After certification

Why This Certification Is Worth It

  • Only AWS certification focused specifically on data engineering
  • Data engineering is one of the fastest-growing and highest-paid tech roles
  • Master AWS Glue, Athena, Redshift, and the modern data stack
  • Essential for data lake and data warehouse architects
  • High ROI: $20K-$30K salary increase vs $150 exam cost
  • Opens doors to senior data engineering and data architecture roles

What is AWS Certified Data Engineer - Associate?

The AWS Certified Data Engineer - Associate (DEA-C01) is a associate-level certification offered by Amazon Web Services (AWS).Validates ability to design, build, and maintain data pipelines on AWS. Covers data ingestion, transformation, storage optimization, security, and governance using AWS data analytics services.

Recommended Experience

2-3 years of experience with data engineering concepts and 1-2 years of hands-on experience with AWS services for data analytics

Who Should Take This Certification?

This certification is ideal for:

  • Cloud practitioners with 1+ years of hands-on experience
  • Solutions architects, developers, or DevOps engineers
  • IT professionals looking to validate their cloud expertise
  • Anyone looking to advance their career in cloud computing

Exam Format

Exam Duration

170 minutes

Number of Questions

85 questions (65 scored, 20 unscored)

Passing Score

720 out of 1000

Certification Validity

3 years

Delivery Method: Pearson VUE testing center or online proctored

Languages: Multiple languages available

Topics Covered

Data Ingestion and Transformation

34%
  • Data Ingestion
  • Data Transformation
  • AWS Glue ETL
  • Glue Workflows
  • Amazon EMR
  • Streaming Data
  • Batch Processing
  • Amazon Kinesis Data Streams
  • Amazon Kinesis Firehose
  • Amazon MSK
  • Data Format Conversion
  • Amazon EventBridge
  • ETL pipeline design and implementation
  • Batch and streaming data processing

Data Store Management

26%
  • Amazon Redshift
  • Redshift Architecture
  • Redshift Optimization
  • DynamoDB
  • S3 Data Lake Design
  • Amazon Athena
  • Schema Evolution
  • Data modeling for analytics
  • Data partitioning and optimization
  • Data lifecycle management

Data Operations and Support

22%
  • Troubleshooting
  • Pipeline Design
  • Pipeline Orchestration
  • AWS Step Functions
  • MWAA
  • Error Handling
  • Performance Tuning
  • Cost Management
  • Monitoring and alerting
  • Data pipeline automation

Data Security and Governance

18%
  • Data Security
  • Lake Formation
  • Data Quality
  • Data encryption and access control
  • Data masking and anonymization
  • Compliance and auditing
  • Data catalog and metadata management

The Right Way to Learn for This Exam

Theory vs Practice Balance

The DEA-C01 exam tests practical data engineering skills. You need 30% theory (understanding services and concepts) and 70% hands-on practice (building pipelines, optimizing queries, troubleshooting issues).

Why Practice Tests Are Critical

AWS data engineering questions require understanding of service interactions, data formats, performance optimization, and cost trade-offs. These decisions become intuitive through scenario-based practice.

Common Mistake to Avoid

Many candidates study individual services but fail because they don't understand how services integrate in real data pipelines. The exam tests end-to-end pipeline design, not isolated service knowledge.

How to Prepare for the Exam

Recommended Study Timeline

For Beginners

90-120 days

Dedicated study time of 1-2 hours per day

For Experienced Professionals

45-60 days

Dedicated study time of 1-2 hours per day

5-Step Preparation Strategy

1

Review the Official Exam Guide

Start by reading the official exam guide from Amazon Web Services (AWS) to understand what topics are covered.

2

Get Hands-On Experience

Practice is crucial. Set up your own test environment and work with the technologies covered in the exam.

3

Take Online Courses or Training

Structured courses help you understand complex concepts and fill knowledge gaps.

4

Practice with Realistic Exam Questions

Take practice tests to familiarize yourself with the exam format and identify weak areas. Our practice tests simulate the real exam experience.

5

Review and Reinforce Weak Areas

Use your practice test results to focus on topics where you need improvement before taking the real exam.

Recommended Study Resources

Preporato Practice Tests

Recommended

Our comprehensive practice test bundle includes 7 full-length practice exams with detailed explanations. Designed to simulate the real exam experience and help you identify knowledge gaps.

✓ 7 Full Practice Exams✓ Detailed Explanations✓ Performance Analytics

Official Documentation

The official Amazon Web Services (AWS) documentation is always the most authoritative source.

Visit Official Certification Page

Hands-On Practice

Practical experience is essential. Consider setting up a free tier account to practice with real services.

7 Mistakes That Lead to Failure (And How to Avoid Them)

Learn from the common mistakes that cause most candidates to fail. Understanding these pitfalls will help you prepare more effectively.

1

Insufficient AWS Glue hands-on experience

Why This Is a Problem

Glue is central to the exam - crawlers, jobs, Data Catalog, and integrations are heavily tested. Theoretical knowledge isn't enough.

The Real Solution

Build real ETL pipelines with Glue. Create crawlers, write Glue jobs, and understand the Data Catalog integration with Athena and Lake Formation.

How Our Practice Tests Help

Our 455+ questions include 150+ Glue-focused scenarios covering all aspects of the service.

2

Not understanding data formats and partitioning

Why This Is a Problem

Questions frequently test when to use Parquet vs ORC vs JSON, and how partitioning affects query performance and cost.

The Real Solution

Understand columnar formats, compression options, and S3 partitioning strategies. Know how Athena and Redshift Spectrum leverage partitions.

How Our Practice Tests Help

Our practice tests include 80+ questions on data formats, partitioning, and storage optimization.

3

Confusing batch vs streaming scenarios

Why This Is a Problem

The exam tests your ability to choose between Kinesis Data Streams, Firehose, Glue Streaming, and batch processing based on requirements.

The Real Solution

Know the latency, throughput, and use cases for each streaming option. Understand when near real-time vs real-time vs batch is appropriate.

How Our Practice Tests Help

Our practice tests include 70+ streaming scenarios to build intuition for these decisions.

Exam Day Tips

Before the Exam

  • Master AWS Glue: crawlers, jobs, Data Catalog, and Studio
  • Understand S3 data lake patterns: partitioning, formats (Parquet, ORC), lifecycle
  • Know Athena optimization: partitions, bucketing, compression
  • Practice Kinesis streaming scenarios: Data Streams vs Firehose vs Analytics
  • Study Lake Formation permissions and cross-account sharing

During the Exam

  • Read scenarios carefully - data volume and latency requirements are key
  • Identify whether the requirement is batch or real-time processing
  • Consider cost vs performance trade-offs in each answer
  • Watch for keywords: 'near real-time', 'cost-effective', 'minimal operational overhead'
  • Eliminate answers that don't match the scale or latency requirements

Career Benefits

Earning the AWS Certified Data Engineer - Associate certification can significantly boost your career prospects:

Higher Salary

Certified professionals earn on average 15-20% more than non-certified peers

More Opportunities

Many job postings require or prefer candidates with cloud certifications

Industry Recognition

Validate your skills and knowledge to employers and clients

Frequently Asked Questions

How difficult is the DEA-C01 exam?

The difficulty varies based on your experience level. With proper preparation and hands-on experience, most candidates find the exam challenging but achievable. Our practice tests help you assess your readiness.

How much does the DEA-C01 exam cost?

Exam costs vary by region and provider. Check the official Amazon Web Services (AWS) website for current pricing. Our practice tests are a cost-effective way to prepare and increase your chances of passing on the first try.

Can I retake the exam if I fail?

Yes, you can retake the exam. However, there may be waiting periods and additional fees. It's best to prepare thoroughly using practice tests to maximize your chances of passing on your first attempt.

How long should I study for the DEA-C01 exam?

Study time varies based on your background. Beginners typically need 90-120 days, while experienced professionals may need 45-60 days with 1-2 hours of daily study. Use practice tests to gauge your readiness.

How long is the certification valid?

The AWS Certified Data Engineer - Associate certification is valid for 3 years. Recertify before expiration or earn higher-level certification

Ready to Start Your Preparation?

Practice with 7 full-length exams designed to help you pass on your first try