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Updated: Sep 10, 2026
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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 be able to leverage, deploy, and continuously train pre-existing machine learning models.
Reference: https://cloud.google.com/certification/data-engineer
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified Professional Data Engineer Exam |
| Exam Number: | Professional Data Engineer |
| Exam Format: | multiple choice, multiple select, case study |
| Real Exam Qty: | Approximately 50–60 multiple choice and multiple select questions |
| Available Languages: | Portuguese, Japanese, German, Spanish, French, English |
| Related Certifications: | Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Professional Machine Learning Engineer Google Cloud Certified - Professional Data Analytics Engineer Google Cloud Certified - Associate Cloud Engineer |
| Passing Score: | Not publicly disclosed (scaled scoring system) |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200 USD |
| Exam Duration: | 120 minutes |
| Recommended Training: | Google Cloud Professional Data Engineer Course (Coursera) Google Cloud Data Engineering Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Professional-Data-Engineer日本語 Sample Questions |
| Exam Way: | Online proctored exam or onsite test center (Kryterion Webassessor) |
| Pre Condition: | No formal prerequisites required; recommended experience with data processing and Google Cloud Platform services |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/data-engineer |
The Google Professional Data Engineer Certification is one of the highest level of certification mainly focussing to the professional Data Engineering.
There is no prerequisite for this exam but still it would be best to follow some sequence in order to prove immense knowledge as a Google professional Data Engineer.
You can complete Google Associate Certifications then approach for the professional certification. For more information related to Google cloud certification track Google-certification-path
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Operationalizing machine learning models | 26% | - Model deployment and monitoring
|
| Topic 2: Building and operationalizing data processing systems | 24% | - Data ingestion and integration
|
| Topic 3: Ensuring solution quality | 28% | - Security and governance
|
| Topic 4: Designing data processing systems | 22% | - Data architecture and storage design
|
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