AWS Certified Data Engineer - Associate (DEA-C01)

This section is for candidates preparing for AWS Certified Data Engineer - Associate (DEA-C01) and for readers who need a sharper review of data lake, streaming, batch, orchestration, and governance patterns on AWS. The emphasis is on replayable pipelines, analytics service choice, operational reliability, and access controls that hold up in real platforms.

Data lake: Centralized storage pattern that keeps raw and curated data available for many analytics tools and downstream consumers.

Orchestration: Coordinating multi-step pipeline tasks, dependencies, retries, and scheduling.

Start with the cheat sheet for high-yield service pickers and trade-offs, use the FAQ to calibrate expected depth, and keep the resources page open while you work through the official exam guide and AWS analytics documentation.

In this section

• AWS DEA-C01 Study Plan (30 / 60 / 90 Days)
  A practical DEA-C01 study plan you can follow: 30-day intensive, 60-day balanced, and 90-day part-time schedules with weekly focus by domain, suggested hours/week, and tips for using the IT Mastery practice app.
• DEA-C01 Cheatsheet — Pipelines, Lakes, Warehouses, Service Pickers, SQL Patterns & Governance (High Yield)
  High-signal DEA-C01 reference: ingestion patterns (batch/stream/CDC), ETL and orchestration choices, S3 data lakes + Lake Formation governance, Glue Catalog + partitions, Redshift/Athena analytics trade-offs, monitoring/data quality, and security/privacy controls.
• DEA-C01 FAQ — Common Questions (AWS Data Engineer Associate)
  Answers to common AWS Data Engineer Associate (DEA-C01) questions: difficulty, prerequisites, passing score, study time, what services to know, and how to prep efficiently.