How to become a Google Certified Professional Data Engineer
Google Certified Professional Data Engineer
A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance,; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also leverage, deploy, and continuously train pre-existing Machine Learning models.
Abilities validated by the certification
- Ability to design data processing systems
- Ability to build and operationalize data processing systems
- Ability to operationalize Machine Learning models
- Ability to ensure solution quality
Recommended experience
3+ years of industry experience, including 1+ years of designing and managing solutions using GCP.
Prepare for the Exam
1. Exam guide
You can review the exam guide.
Don’t forget to review the case studies!
2. Training
You can view the preferred learning path
3. Webinar
You can register for and attend a webinar.
4. Additional resources
You can view additional resources on the concepts and critical components of GCP by visiting:
5. Sample questions
You can view the sample questions for this certification here.
6. Schedule your exam
Register for your exam here.
Free Resources