DEA-C01 practice examsFinished
AWS Certified Data Engineer - Associate
Data engineering on AWS: streaming and batch ingestion with Kinesis, Glue and DMS, choosing and modelling the right store from S3 and Redshift to DynamoDB, orchestrating and monitoring pipelines with data quality checks, and securing and governing the result with Lake Formation and KMS.
What you get
Papers are cut from the bank and weighted like the real exam, and no question appears in two of them. Every wrong answer comes back on later days until you have it right.
What the exam covers
| Data Ingestion and Transformation | 34% |
| Data Store Management | 26% |
| Data Operations and Support | 22% |
| Data Security and Governance | 18% |
Two sample questions
1. Which store is purpose built for time series measurements?
- Amazon Timestream — correct
- Amazon Neptune
- Amazon Keyspaces
- Amazon DocumentDB clusters
Why: Timestream stores time ordered measurements with retention tiers built in.
2. A few Spark tasks run far longer than the rest in a Glue job. What does the Spark UI most likely reveal?
- Data skew — correct
- A missing job bookmark
- Too few Kinesis shards
- An idempotency error
Why: Uneven task durations in the Spark UI point to data skew.
The real DEA-C01 exam
| Length | 130 minutes |
|---|---|
| Questions | 65 |
| Pass mark | 720 on a scale of 100 to 1000 |
| Price | $150 USD |
| Recommended before you sit it | None formally; AWS recommends two to three years of data engineering experience. |
| Valid for | 3 years |
Exam facts as published by AWS; always check the vendor’s page before you book.
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