AWS Certified Data Engineer - Associate (DEA-C01)
Complete DEA-C01 exam guide covering data ingestion, transformation, data stores, data pipelines, monitoring, data quality, security, governance and AWS data engineering services.
View Official AWS Exam Guide →AWS Certified Data Engineer - Associate (DEA-C01): Complete Guide
The AWS Certified Data Engineer - Associate (DEA-C01) certification validates technical skills related to implementing data pipelines and working with data stores on AWS, including monitoring, troubleshooting, cost optimization and performance optimization.
According to AWS, the certification focuses on the ability to ingest and transform data, orchestrate data pipelines, choose and manage data stores, operationalize and monitor data pipelines, ensure data quality, and implement appropriate security and governance controls.
DEA-C01 Exam at a Glance
AWS Certified Data Engineer - Associate
DEA-C01
130 minutes
65 questions
USD 150
AWS currently lists the DEA-C01 exam as a 130-minute, 65-question Associate-level certification exam. AWS states that questions are multiple choice or multiple response. :contentReference[oaicite:1]{index=1}
Who Should Take the AWS DEA-C01 Exam?
The AWS Certified Data Engineer - Associate certification is designed for professionals working with data engineering and AWS data services.
- Data Engineers
- Cloud Data Engineers
- AWS Data Professionals
- Data Architects
- Cloud Engineers working with data pipelines
- Analytics Engineers
- ETL Developers
- Professionals transitioning into AWS data engineering
AWS recommends the equivalent of 2–3 years of data engineering experience and at least 1–2 years of hands-on AWS experience for the target candidate profile. :contentReference[oaicite:2]{index=2}
AWS DEA-C01 Exam Domains
The DEA-C01 exam is divided into four major content domains. Understanding these domains is essential when building an AWS Data Engineer Associate preparation strategy.
Domain 1
Data Ingestion & Transformation
Ingest, transform, process and orchestrate data pipelines.
Domain 2
Data Store Management
Select data stores, manage data lifecycles and design data models.
Domain 3
Data Operations & Support
Automate, analyze, monitor and maintain data pipelines.
Domain 4
Data Security & Governance
Implement authentication, authorization, encryption, privacy and governance.
AWS currently assigns 34%, 26%, 22% and 18% of scored content to Domains 1 through 4 respectively. :contentReference[oaicite:3]{index=3}
1. Data Ingestion and Transformation
Data ingestion and transformation is the largest DEA-C01 exam domain. Candidates should understand how to collect data from batch and streaming sources, transform data, orchestrate pipelines and apply programming concepts.
Important DEA-C01 Topics
- Batch data ingestion
- Streaming data ingestion
- Data transformation
- ETL pipelines
- Data processing
- Pipeline orchestration
- Serverless data workflows
- Event-driven data pipelines
- Python and SQL concepts
- Infrastructure as Code
- CI/CD for data engineering
- Performance and scalability
AWS specifically includes services and concepts such as Amazon Kinesis, Amazon MSK, Amazon S3, AWS Glue, AWS DMS, AWS Lambda, Amazon EventBridge, AWS Step Functions and Amazon MWAA within relevant data engineering tasks. :contentReference[oaicite:4]{index=4}
2. Data Store Management
Data engineers need to select the right storage and database technology according to workload requirements, performance, scalability, cost and data characteristics.
Key Topics
- Choosing the appropriate AWS data store
- Data modeling
- Schema design
- Schema evolution
- Data cataloging
- Metadata management
- Data lifecycle management
- Data retention
- Storage optimization
- Performance optimization
Candidates should understand how different AWS storage, database and analytics services fit different use cases rather than memorizing service names alone. AWS identifies data-store selection, cataloging systems, data lifecycle management, and data models/schema evolution as the major tasks in this domain. :contentReference[oaicite:5]{index=5}
3. Data Operations and Support
Building a data pipeline is only part of a data engineer's responsibility. DEA-C01 also focuses on operating, monitoring, analyzing and maintaining data pipelines.
Key Topics
- Data pipeline automation
- Data analysis using AWS services
- Pipeline monitoring
- Troubleshooting
- Logging
- Alerts and notifications
- Data quality
- Pipeline reliability
- Performance optimization
- Cost optimization
AWS identifies automation, data analysis, maintaining and monitoring data pipelines, and ensuring data quality as the primary tasks in this domain. :contentReference[oaicite:6]{index=6}
4. Data Security and Governance
Data security and governance are critical components of modern cloud data engineering. DEA-C01 covers authentication, authorization, encryption, masking, logging, privacy and governance.
Key Topics
- AWS IAM
- Authentication
- Authorization
- Encryption at rest
- Encryption in transit
- AWS KMS
- AWS Secrets Manager
- Data masking
- CloudTrail logging
- Data privacy
- Data governance
- Audit and compliance
AWS organizes this domain around authentication, authorization, encryption and masking, audit logging, and data privacy and governance. :contentReference[oaicite:7]{index=7}
Important AWS Services for DEA-C01
The AWS exam guide lists a broad range of in-scope AWS services. Candidates should focus on understanding when and why to use a service, including its cost, performance, scalability, security and operational characteristics.
Amazon Athena, Amazon EMR, AWS Glue, Kinesis, Amazon OpenSearch Service, Amazon Redshift
Amazon S3, S3 Tables, S3 Glacier, EBS, EFS, AWS Backup
Amazon RDS, Aurora, DynamoDB, Redshift, DocumentDB, Neptune, MemoryDB
EventBridge, Step Functions, SNS, SQS, AppFlow, MWAA
IAM, AWS KMS, Secrets Manager, Macie, WAF, Shield
Amazon CloudWatch, CloudWatch Logs, CloudTrail, AWS Config
AWS's official in-scope service list also includes services across compute, containers, networking, migration, developer tools, machine learning, management and governance. The list is non-exhaustive and may change as the exam guide is revised. :contentReference[oaicite:8]{index=8}
How to Prepare for AWS Certified Data Engineer - Associate
Step 1: Understand the DEA-C01 Exam Blueprint
Start with the official AWS exam guide and understand all four domains before beginning intensive preparation.
Step 2: Build Strong AWS Data Fundamentals
Learn Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, Amazon Kinesis, DynamoDB, RDS, Lambda and other core AWS data services.
Step 3: Practice Data Pipeline Architecture
Build practical ETL and ELT pipelines. Practice batch and streaming ingestion, transformation, orchestration, monitoring and troubleshooting.
Step 4: Learn SQL and Programming Concepts
DEA-C01 preparation should include SQL fundamentals and practical programming concepts used in data engineering. AWS also identifies Python, SQL, Scala, R, Java, Bash and PowerShell among programming technologies relevant to the exam skills. :contentReference[oaicite:9]{index=9}
Step 5: Practice Security and Governance
Understand IAM permissions, encryption, KMS, Secrets Manager, logging, data privacy and governance.
Step 6: Use Hands-On Labs
Hands-on AWS practice is valuable because data engineering questions often require choosing an appropriate service or architecture based on practical requirements.
Step 7: Take Practice Questions
Use practice questions to identify weak areas, but prioritize understanding AWS architecture and service behavior instead of memorizing answers.
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AWS exam guides are periodically reviewed and revised. Always check the latest official AWS DEA-C01 exam guide before scheduling your exam or finalizing your study plan. AWS provides a revisions section so candidates can track changes to exam skills and services. :contentReference[oaicite:10]{index=10}
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Send an Enquiry →Frequently Asked Questions About DEA-C01
What is AWS Certified Data Engineer - Associate?
AWS Certified Data Engineer - Associate is an AWS Associate-level certification focused on data engineering skills, including data ingestion, transformation, data stores, pipeline operations, data quality, security and governance.
What is the AWS DEA-C01 exam?
DEA-C01 is the exam code for AWS Certified Data Engineer - Associate. AWS currently lists 65 questions and a 130-minute exam duration. :contentReference[oaicite:11]{index=11}
What are the DEA-C01 exam domains?
The four domains are Data Ingestion and Transformation, Data Store Management, Data Operations and Support, and Data Security and Governance. :contentReference[oaicite:12]{index=12}
Which AWS services should I study for DEA-C01?
Important services include Amazon S3, AWS Glue, Amazon Athena, Amazon Kinesis, Amazon Redshift, AWS Lambda, AWS Step Functions, Amazon EventBridge, DynamoDB, RDS, IAM, KMS, CloudWatch and CloudTrail, among others. AWS maintains the authoritative in-scope service list in the exam guide. :contentReference[oaicite:13]{index=13}
Is hands-on AWS practice important for DEA-C01?
Yes. Practical experience with data ingestion, ETL, storage, SQL, monitoring, security and pipeline troubleshooting can make certification preparation more effective.
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AWS Certified Data Engineer – Associate (DEA-C01)
Prepare for the AWS Certified Data Engineer – Associate (DEA-C01) certification and strengthen your knowledge of AWS data engineering, data ingestion, data transformation, data storage, data processing, data security, monitoring, troubleshooting, and data pipeline solutions.
Whether you are preparing for the AWS DEA-C01 exam, starting a career in cloud data engineering, or looking to improve your AWS data platform skills, Eduarn provides learning resources designed to help you learn AWS concepts in a practical and career-focused way.
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