Professional data engineers gather, process and publish data to support data-driven decision making. With a focus on security and compliance, a google professional data engineer should be able to plan, construct, operationalize, protect, and monitor data processing systems. This certification measures a person’s ability to plan, design, implement, manage, and maintain data processing systems. Although there are no prerequisites for this test, Google does advise at least three years in the industry, Having at least one year of experience, of managing and designing tools on the Google Cloud Platform.
Before attempting the Certification exam, get yourself accustomed to the actual exam pattern, by taking this practice exam Google cloud – Professional Data Engineer (Simulated Exam 2023).
Skillcurb brings to you, real and expert made Google Cloud Data Engineer Certification practice test, to enhance your knowledge, skills and help you achieve your certification aims!
GCP Data Engineering: Exam details

GCP Data Engineering: Exam Domains
- Operationalizing Machine Learning Models
i) Infrastructure
ii) Model
iii) Deploy
- Designing Data Processing Systems
i) Data pipeline
ii) Distributed system
iii) Storage systems
iv) Data warehousing
- Building and Operationalizing Data Processing Systems
i) Batch
ii) Streaming
iii) Monitor
iv) Provision
- Ensuring Solution Quality
i) Security
ii) Compliance
iii) Scalability
iv) Flexibilty
v) Probablity