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DEA-C01 Practice Tests

AWS Certified Data Engineer Associate

Prepare for DEA-C01 with questions grounded in the official AWS Data Engineer Associate exam guide. Practice ingestion, transformation, storage, operations, support, security, and governance across AWS data services.

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Duration

130 minutes

Questions

65 questions (50 scored, 15 unscored)

Cost

$150 USD
Where to register
Amazon Web Services

Issued by Amazon Web Services. Delivered via Pearson VUE or online proctored exam. AWS recommends 2 to 3 years of data engineering experience and 1 to 2 years of hands-on AWS experience.

Register on aws.amazon.com
01·Overview

Certification overview

The format, prerequisites, and what to expect on exam day.

Exam details

  • Exam Code

    DEA-C01

  • Duration

    130 minutes

  • Questions

    65 questions (50 scored, 15 unscored)

  • Format

    Multiple choice and multiple response

  • Passing Score

    720/1000

  • Cost

    $150 USD

  • Validity

    3 years

Prerequisites
  • 2 to 3 years of experience in data engineering
  • 1 to 2 years of hands-on experience with AWS services
  • Experience building and maintaining ETL or ELT pipelines
  • Working knowledge of data lakes, SQL, Git, networking, storage, compute, and vector concepts
02·Domains

Exam domains

Topics on the official blueprint, with their relative weight.

01
Data Ingestion and Transformation
34%
  • Perform batch and streaming data ingestion
  • Transform and process data
  • Orchestrate data pipelines
  • Apply programming concepts in pipelines
02
Data Store Management
26%
  • Choose the right data store
  • Use data cataloging systems
  • Manage data lifecycle
  • Design data models and schema evolution
03
Data Operations and Support
22%
  • Automate data processing
  • Analyze data with AWS services
  • Maintain and monitor pipelines
  • Ensure data quality
04
Data Security and Governance
18%
  • Apply authentication and authorization
  • Use encryption and masking
  • Prepare audit logs
  • Apply privacy and governance strategies
03·Key topics

What you actually study

Service families and concept clusters that show up across questions.

Pipeline Services

  • AWS Glue
  • Amazon EMR
  • AWS Lambda
  • Step Functions
  • Amazon MWAA
  • DataSync

Streaming and Ingestion

  • Kinesis services
  • Amazon MSK
  • EventBridge
  • S3 ingestion patterns
  • Schema handling

Storage and Query

  • Amazon S3
  • Redshift
  • DynamoDB
  • RDS
  • Athena
  • Glue Data Catalog

Governance

  • Lake Formation
  • IAM
  • KMS
  • Macie
  • CloudTrail
  • VPC endpoints
04·Study tips

How to actually pass it

Practical strategies for the weeks before, and the morning of.

Preparation strategy
  • Map each AWS data service to the pipeline stage it usually supports.
  • Practice choosing between Glue, EMR, Lambda, Step Functions, MWAA, Kinesis, MSK, Redshift, Athena, and DynamoDB.
  • Review data quality, schema evolution, lifecycle policies, governance, encryption, and audit logging.
  • Build scenario drills around cost, performance, and operational troubleshooting.
Exam day
  • Identify whether the question is about ingestion, storage, operation, or governance before choosing a service.
  • Do not select ML training or inference answers unless the question is explicitly about data for ML.
  • Prefer services that satisfy both operational and security requirements in the scenario.
  • Watch for words like streaming, orchestration, catalog, lifecycle, and audit.

Build the data engineering reflexes DEA-C01 expects.

Practice with the official domain weights and AWS data service scenarios. Start free, no card required.

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