DJames617 associate / DEA-C01
AWS Certified Data Engineer - Associate Study Guide
Practice data-ingestion, transformation, storage, operations, governance, and security decisions on AWS.
Certification Overview
- Exam code
- DEA-C01
- Target candidate
- Data engineers who implement data pipelines and data stores on AWS.
- Study scope
- Eight to twelve weeks for learners who know data pipelines, SQL, and basic AWS. Expect ingestion, transformation, stores, operations, and governance.
- Completion status
- Published and source-reviewed 2026-08-07
What This Exam Is Really Testing
- Whether you can select batch or streaming ingestion patterns that match latency, ordering, replay, and scale needs.
- Whether you understand data lakes, warehouses, catalogs, lifecycle, schema evolution, and query engines.
- Whether you can operate data pipelines with monitoring, quality checks, retries, and failure handling.
- Whether you can secure and govern data using IAM, encryption, masking, catalog permissions, and audit logs.
Who This Exam Is For
Data engineers who implement data pipelines and data stores on AWS. Experience with data pipelines, data stores, and operational data workflows is recommended.
Exam Blueprint
| Domain | Weight | Study page |
|---|---|---|
| Data Ingestion and Transformation | 34% | Open Domain 1 |
| Data Store Management | 26% | Open Domain 2 |
| Data Operations and Support | 22% | Open Domain 3 |
| Data Security and Governance | 18% | Open Domain 4 |
How to Use These Notes
For every data service, track data shape, latency, ownership, transformation model, schema behavior, security boundary, and cost driver.
Domains
Data Ingestion and Transformation
Batch and streaming ingestion, transformation, and orchestration.
Practice this domain in AWS ArcadeData Store Management
Data lakes, warehouses, stores, schema, lifecycle, and cost management.
Practice this domain in AWS ArcadeData Operations and Support
Monitoring, data quality, operations, performance, and failure handling.
Practice this domain in AWS ArcadeData Security and Governance
Encryption, access control, auditing, privacy, and governance.
Practice this domain in AWS ArcadeCritical AWS Services
Do not study these as vocabulary words. For each service, know the workload fit, what AWS manages, what you still configure, security boundaries, scaling behavior, and cost signal.
Service Comparisons
Many AWS questions are not asking whether a service can solve the problem. They ask which service solves it with the right operational, security, availability, and cost tradeoff.
Exam Decision Patterns
Least operational overhead
Prefer managed and serverless services when they satisfy the requirement. Exceptions appear when the scenario needs host control, unsupported runtimes, specialized network behavior, or exact migration compatibility.
Highly available
Identify the failure boundary. One instance is not HA. Multiple instances in one AZ help capacity but not AZ failure. Multi-AZ handles regional AZ faults. Multi-Region handles regional events but adds complexity and cost.
Durable
Durability is about preserving data. Use replication, versioning, backups, point-in-time recovery, and tested restore plans. A durable backup does not guarantee a low RTO.
Decouple the application
Use SQS for buffering work, SNS for fanout, EventBridge for event routing, and Step Functions for visible workflow state. Add retries, DLQs, and idempotent consumers.
Least privilege
Prefer roles and temporary credentials, scope actions/resources/conditions, watch explicit denies, and remember that resource policies may also be required.
Most cost-effective
Read usage pattern, duration, access frequency, scaling behavior, data transfer, and operations. Cheapest unit price is not always lowest total cost.
Lowest latency
Move content or compute closer to users, cache aggressively, choose the right database access pattern, and avoid unnecessary cross-Region or NAT paths.
Private connectivity
Use private subnets, VPC endpoints, PrivateLink, VPN, Direct Connect, Transit Gateway, and tight DNS/routing design instead of public exposure.
What AWS Wants You to Notice
Common Exam Traps
- Using Redshift for every analytics question even when S3 plus Athena fits better.
- Ignoring partitioning, file format, and small-file cost/performance issues.
- Treating ingestion and transformation as the same design decision.
- Forgetting that data quality and schema drift are operational concerns.
Architecture Diagrams
Hands-On Practice
These labs are optional. They do not provision anything from this website. Read the cost warning before creating AWS resources.
Mastery Checklist
Checklist state is saved locally in this browser and does not change Arcade readiness scoring.
Practice in AWS Arcade
Use the Arcade after studying a domain so explanations reinforce reasoning instead of becoming answer memorization.
Sources and Review Metadata
This independent training application is not affiliated with or endorsed by Amazon Web Services. AWS, Amazon Web Services, and AWS certification names are trademarks of Amazon.com, Inc. or its affiliates.