AWS / Associate / DEA-C01
Data Engineer Associate
Follow data from ingestion to trusted analytics. Revise SQL, schema evolution, stream processing and operating a recoverable pipeline.
THE REVISION PATH
Your topics, in order.
Read. Recall. Explain the alternative.
Data and analytics
Separate ingestion, storage, metadata, permissions, computation and visualization so each requirement has a clear owner.
SQS, SNS, Kinesis and Amazon MQ
Queue work for competing workers, fan out events to independent consumers, and retain streams when replay matters.
Advanced S3
Measure access, choose an economical storage class, automate aging, and make event consumers tolerate retries.
Security & Encryption
Protect the connection, the stored data, the permission to use it and the evidence of misuse separately.
Ingestion, Streaming and Transformation
A durable checkpoint and an idempotent sink matter more than a promise of no retries.
SQL, Data Models and Schema Evolution
Store for the queries you need, and treat schema changes as a compatibility contract.
Data Quality, Governance and Pipeline Operations
Trust the dataset only when freshness, correctness, access and recovery have evidence.
How this guide is organised
Original revision notes arranged around practical decisions. The linked official objectives define the mapped scope; primary documentation supports the explanations. Read each topic, answer without looking, then explain why another option would fail.
- Official exam guide ↗ Scope authority
Revision material supports preparation; it does not guarantee every possible exam question. Check the exam version and official objectives before booking.