Design, build and run data processing systems on Google Cloud.
4.5(247 reviews)
The Google Cloud Professional Data Engineer exam checks that you can design and run data systems on
4.5 out of 5 from 247 reviews
Moderate difficulty overall. The best parts covered storage formats, batch versus streaming decisions, and monitoring with Cloud Logging, while a couple of scenarios were a bit repetitive.
I used it to review pipeline orchestration, Dataproc vs. Dataflow choices, and IAM around service accounts. The questions pushed me to compare options instead of guessing.
The sections on Pub/Sub, Dataflow windows, and exactly-once behavior were useful, though some explanations needed a second read. It works better as a study check than a quick drill.
Good practice for BigQuery joins, partition filters, and schema design. A few items felt terse, but the scenarios were close to the kind of tradeoffs I needed to think through.
No. We write original exam-style practice questions that cover the same sections and skills as the official exam guide. We don't sell copies of real exam questions.
40 to 50 multiple choice and multiple select questions in two hours, taken online with a remote proctor or at a test center.
Google does not publish a passing score. You get a pass or fail result.
Two years. A shorter renewal exam is available for certified engineers.
Take a test, read the explanation for every question you miss, and practise picking a storage service from the access pattern alone.