What resources are key for AWS DEA-C01?

Stefan Marek course on Udemy, Dojo tests, Anki flashcards and ChatGPT for scenario analysis. Dojo is closest to the exam.

What to focus on in preparation?

ETL (Glue), Athena (partitions), Redshift (tuning), S3, Kinesis. Case practice with edge cases.

How much time for preparation?

2 months at 4–5 hours a day, daily flashcards and timed tests.

AWS DEA-C01: how to pass without cloud experience

The article describes preparation for AWS DEA-C01 without IT experience: Udemy, Dojo, Anki, ChatGPT resources. Focus on ETL (Glue), analytics (Athena, Redshift), streaming. Passed with 805/1000 after 2 months.

By Sudonull Editorial Team • Published 2026-04-14 • Updated 2026-04-14

# Preparing for and Passing AWS DEA-C01: A Data Engineer's Experience Without an IT Background

You can pass the AWS Certified Data Engineer Associate (DEA-C01) without prior cloud experience by studying systematically for 2 months at 4–5 hours a day. Score: 805/1000. Exam focus: data storage (S3), ETL (Glue), analytics (Athena, Redshift), streaming (Kinesis), monitoring (CloudWatch). Hands-on practice with Dojo cases and Anki flashcards helps you grasp the nuances of service selection.

Resources and Preparation Sequence

Start with AWS Skill Builder: the Cloud Practitioner course for a basic understanding of cloud architecture. Then move on to Stefan Marek's main course on Udemy (22 hours of video + practice tests). It covers 50–60% of exam topics but dives too deep into security and containers. ETL and streaming need extra practice.

Key tool: Dojo tests (AWS Certified Data Engineer Associate DEA-C01 Practice Exam 2025):

Review Mode: Answer in your own words before checking the options.
Analyze scenarios: data pipelines, stage-specific issues, edge cases (cost, latency, infrastructure).

Question breakdown algorithm:

Break down the pipeline and problem.
Select services based on the scenario.
Check for edge cases (cheaper/faster/no extra infrastructure).
Eliminate similar options based on subtle differences.

Anki for retention:

Fact flashcards after each course section.
Problem cases: slow Glue jobs, small partitions in Athena, packet loss in Kinesis.
150–200 reviews daily.

Use ChatGPT as a mentor: describe the scenario, propose a solution, and ask for leading questions to refine it. This builds your ability to spot tricks.

Exam Process

Book your exam a week after scoring 70–80% on timed practice tests. Non-native speakers get +30 minutes. Test center: strict security, isolated stations with noise-canceling headphones.

65 questions, 170 minutes. Question flow mirrors Dojo: from basic definitions to deep analysis of Glue (syntax), Athena (partition optimization), Redshift (node distribution), S3. SageMaker and networking are rare.

What Matters Most

ETL and analytics dominate: Glue, Athena, Redshift — 60% of questions.
Practice > theory: Dojo trains you to differentiate options via edge cases.
Flashcards for retention: Review typical issues (partitions, data loss) daily.
Scenarios are key: Focus on pipelines, costs, and latencies.
The result organizes your knowledge: Directly applicable to personal projects.

— Editorial Team