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AWS Certified Data Engineer Associate

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AWS Certified Data Engineer Associate Associate

DEA-C01

A comprehensive resource guide for the AWS Data Engineer Associate exam.

Detail Value
Exam Code DEA-C01
Duration 130 minutes
Cost $150 USD
Passing Score 720 / 1000
Questions 65 (50 scored + 15 unscored)
Recommended Experience 2–3 years data engineering, 1–2 years AWS
Official Page AWS Data Engineer Associate

Last Updated

This guide was last updated on 13 January 2026.

tl;dr

  1. Read the official exam guide to understand the domains
  2. Get one video course:
    • Exam-focused: Stephane Maarek / Frank Kane on Udemy
    • Free basics: AWS Skill Builder fundamentals courses
  3. Take the Skill Builder exam prep course
  4. Do one set of quality practice exams — TutorialsDojo or Stephane Maarek
  5. Review exam feedback from those who passed
  6. Take and pass the exam!

Exam Details

  • Exam code: DEA-C01
  • Official page: AWS Data Engineer Associate
  • Exam guide: DEA-C01 Exam Guide
  • Questions: 65 (50 scored + 15 unscored pilot)
  • Duration: 130 minutes
  • Passing score: 720 / 1000 (scaled score)
  • Cost: $150 USD
  • Validity: 3 years

Exam Domains

Domain Weight
Data Ingestion and Transformation 34%
Data Store Management 26%
Data Operations and Support 22%
Data Security and Governance 18%

Scaled Score

The passing scaled score of 720 does not directly map to a percentage of correct answers. This applies to all associate-level exams (750 for Professional/Specialty).


Target Candidate

AWS recommends 2–3 years of experience in data engineering and at least 1–2 years of hands-on experience with AWS services. You should understand:

  • Data ingestion, transformation, and orchestration
  • Data store selection, data modeling, schema evolution, and lifecycle management
  • Data pipeline operations, monitoring, and data quality
  • Data security, encryption, privacy, and governance

No experience requirement

You do not strictly need 2–3 years of experience, but you do need to know all exam domains in detail. Hands-on practice with AWS free tier is highly recommended.


Video Courses

Free

AWS Skill Builder — Fundamentals of Data Analytics

Part Link
Part 1 Skill Builder
Part 2 Skill Builder

Andrew Brown / FreeCodeCamp (YouTube)

A great free introduction to AWS. Watch his videos to build general AWS familiarity before diving into DEA-specific content.

Skill Builder alone is not enough

Using only the free Skill Builder courses will not be sufficient to pass. Supplement with a paid course and practice exams.

Instructor Description Link
Stephane Maarek / Frank Kane Frequently updated, exam-focused, recommended for most certification candidates. Best suited for preparing for the latest AWS certification exams. courses.datacumulus.com — never pay more than $15
QA Learn (Cloud Academy) Enterprise training; good foundational material with labs. Free if you have enterprise access QA Learn DEA course

Which course to choose?

  • Stephane Maarek / Frank Kane is the most popular and exam-focused option on Udemy
  • QA Learn is excellent if you have free access — enterprise-grade content with regular updates and hands-on labs
  • Adrian Cantrill has not confirmed if he will cover DEA

Additional Resources

AWS Skill Builder Microcredentials

Official AWS Skill Builder learning paths that include focused training, knowledge assessments, and digital badges. Useful for strengthening knowledge in specific AWS domains before or after certification preparation.

Learn more

AWS Customer Learning Programs

Official AWS service-specific learning programs that award Credly digital badges. These programs help learners deepen knowledge of individual AWS services, products, and solution areas beyond the certification blueprint.

Explore programs

AWS SimuLearn Learning Plan Badges

Official AWS interactive learning plans that validate practical cloud skills using simulated hands-on scenarios. Recommended for learners who want hands-on validation alongside certification preparation.

Learn more

AWS Builder Center Sandbox

Official free temporary AWS environment for hands-on learning and certification practice.

https://aws.amazon.com/about-aws/whats-new/2026/07/aws-builder-center-sandbox/


Exam Prep

AWS Skill Builder offers two exam prep courses that cover exam domains at a high level. Take these after completing a training course.

Type Link
Free (Standard) Exam Prep Standard Course
Paid (Enhanced) Exam Prep Enhanced Course

Enhanced Course

The paid/enhanced version includes additional features and lab access. A 7-day free trial was previously available.


Practice Exams

Free

Type Link
AWS Official (20 questions) Official Practice Question Set
TutorialsDojo Sampler (20 questions) TutorialsDojo Sampler
Provider Link Notes
AWS Official Pretest Official Pretest
TutorialsDojo Full TutorialsDojo DEA-C01
Neal Davis / Digital Cloud Training 150 practice questions Udemy
Stephane Maarek 4 full practice exams (65 questions each) courses.datacumulus.com — open in incognito for best price
Thomas Hass Community contributed Udemy
Paweł Krakowiak Community contributed Udemy

How to score on practice exams

Aim for high 70s to 80s on practice exams before booking the real exam. Review every wrong answer thoroughly. There is no single "magic number" — focus on understanding why answers are correct.


Key Services to Know

Based on the exam guide and community feedback, focus on these services:

Category Services
Ingestion & Transformation AWS Glue, Glue DataBrew, Glue Studio, Kinesis (Data Streams, Data Firehose, Data Analytics), Lambda, DMS, Step Functions
Storage & Data Stores S3 (including storage classes, lifecycle policies), Redshift, DynamoDB, RDS, OpenSearch
Orchestration Step Functions, EventBridge, MWAA (Managed Workflows for Apache Airflow)
Catalog & Governance Lake Formation, Glue Data Catalog, IAM, KMS, CloudTrail, CloudWatch
Query & Analysis Athena, Redshift Spectrum, QuickSight (basic understanding)
Data Quality Deequ (via Glue), DataBrew, custom Lambda checks

Glue is critical

AWS Glue and its ecosystem (crawlers, ETL jobs, DataBrew, Studio, Data Catalog, Lake Formation integration) are heavily tested. Make sure you understand Glue deeply.


Hands-on Practice

AWS Free Tier

The AWS Free Tier covers key DEA services: AWS Glue (1 million objects/month), S3 (5 GB), Lambda (1 million requests), and Redshift (750 hours). Build ETL pipelines, data lakes, and analytics dashboards. Set up billing alerts and monitor usage to avoid unexpected charges.

AWS Free Tier

AWS Builder Center Sandbox (Official)

  • Official free AWS sandbox environment
  • No AWS account billing or credit card required
  • Temporary AWS environment for learning and experimentation
  • No risk of accidental AWS charges
  • Ideal for certification practice, workshops, and learning new AWS services
  • Sessions currently last up to 8 hours
  • Availability depends on supported Builder Center workshops

Official announcement: https://aws.amazon.com/about-aws/whats-new/2026/07/aws-builder-center-sandbox/

AWS Builder Center Sandbox — more details about the Builder Center Sandbox program.

AWS Skill Builder Labs

Skill Builder offers guided labs for data engineering services including Glue, Athena, EMR, Redshift, and Lake Formation. Labs provide temporary AWS accounts for safe experimentation.

Skill Builder Labs

AWS Builder Labs

Builder Labs include step-by-step environments covering Glue ETL jobs, Kinesis data streams, and Athena queries with temporary AWS accounts.

AWS Builder Labs

Data Engineering Services to Practice

  • AWS Glue — Build crawlers, ETL jobs, Glue Studio visual pipelines, and DataBrew recipes.
  • Amazon Athena — Query data lakes with standard SQL using S3 and Glue Data Catalog.
  • Amazon EMR — Run Spark and Hadoop clusters for large-scale data processing.
  • Amazon Redshift — Set up data warehouses, spectrum queries, and materialized views.
  • Amazon Kinesis — Stream data with Data Streams, transform with Data Firehose, and analyze with Data Analytics.
  • AWS Lake Formation — Set up data lakes with fine-grained access control.

Third-Party Platforms

  • KodeKloud — Data engineering scenarios covering Glue and EMR lab exercises.
  • Cloud Academy — Structured data engineering learning paths with hands-on labs.
  • A Cloud Guru / Pluralsight — Includes data-focused AWS sandboxes. Best if you have free access through work.

Projects & Hands-on — more practice resources and comparison of platforms.


Community Advice

  • Hands-on practice matters. Build data pipelines with real datasets.
  • Don't memorize dumps.
  • Practice exams identify weak areas; review every wrong answer.
  • Read AWS documentation for unfamiliar services.
  • AWS Glue and its ecosystem are heavily tested — prioritize them.

Exam Tips

  • Sleep well before the exam.
  • Read every question carefully.
  • Eliminate wrong answers first.
  • Flag difficult questions and come back to them.

FAQ

Is SAA a prerequisite for DEA? Not officially, but the Solutions Architect course material is very helpful for building foundational AWS knowledge. Some recommend going through SAA material (not necessarily taking the exam) before DEA.

Can I take DEA as my first AWS certification? This is a relatively new exam and beta testers found it quite hard. If you have zero AWS experience, consider starting with Cloud Practitioner or at least going through SAA course material first.

How long does it take to prepare? Most people report 3–4 weeks if they have some AWS/data background, or 3–4 months starting from scratch.

Is the old Data Analytics Specialty (DAS) course enough? The old DAS course was a specialty-level exam. DEA is associate-level and narrower in scope, with heavy emphasis on Glue. You should use DEA-specific material.

Can I use the 50% exam benefit voucher? Yes — if you pass any AWS exam, you can use the 50% off voucher toward DEA-C01.

Does DEA require coding? You should be comfortable with Python and SQL. Programming concepts are explicitly listed in Domain 1 (Task 1.4). Understanding pandas, PySpark, and basic scripting is helpful.


Exam Feedback

Community members who passed have shared their experiences:

Review exam feedback

Reading posts from those who passed is one of the best ways to gauge difficulty, identify important topics, and refine your study plan.


Summary

The recommended study plan:

  1. Read the official exam guide — understand all domains and task statements
  2. Take a video course — Stephane Maarek on Udemy or QA Learn
  3. Take the Skill Builder exam prep course (free version is sufficient)
  4. Do practice exams — TutorialsDojo + one additional set
  5. Review weak areas using AWS documentation
  6. Read exam feedback from others who passed
  7. Book and pass the exam

Skill Builder courses + one video course + one set of practice exams should be sufficient.