This test assesses your ability to:
1. Design data processing systems
2. Build and Operationalize Data Processing Systems
3. Operationalize Machine Learning Models
4. Ensure Solution Quality
Those categories are explained in more detail here.
At a testing facility you will have 2 hours to solve 50 multiple choice questions on a computer. You can mark questions you are unsure about and can review them towards the end of the test. After you submit your test, you will see a provisional result of either PASS or FAIL. The official results will be sent to you in the next few days. If everything goes well you'll receive this certification. Good luck!
- https://medium.freecodecamp.org/the-rise-of-the-data-engineer-91be18f1e603
- https://medium.com/@rchang/a-beginners-guide-to-data-engineering-part-i-4227c5c457d7
- https://deploy.live/blog/google-cloud-certified-professional-data-engineer/
- https://diogoalexandrefranco.github.io/data-engineering-resources/
- https://medium.com/@sathishvj/notes-from-my-google-cloud-professional-data-engineer-exam-530d11966aa0
- https://github.com/ml874/Data-Engineering-on-GCP-Cheatsheet
- https://linuxacademy.com/google-cloud-platform/training/course/name/google-cloud-data-engineer
- https://interactive.linuxacademy.com/diagrams/TheDataDossier.html
- https://www.udemy.com/gcp-data-engineer-and-cloud-architect/
- https://developers.google.com/machine-learning/glossary/
- https://developers.google.com/machine-learning/crash-course/ml-intro
- https://developers.google.com/machine-learning/guides/rules-of-ml/
- https://medium.com/@14prakash/back-propagation-is-very-simple-who-made-it-complicated-97b794c97e5c