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

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