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The Google Professional-Data-Engineer exam consists of multiple-choice questions and requires candidates to demonstrate their knowledge of various data engineering concepts and technologies. The questions are designed to test the candidate's ability to analyze data, transform data, and implement data processing solutions using Google Cloud Platform's tools and services. Professional-Data-Engineer exam is two hours long, and candidates must achieve a passing score of 70% or higher to earn the certification.
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For more info visit:
Google-provided tutorials Community-provided tutorials Google-Data-Engineer-Practice-Test
Reference: https://cloud.google.com/certification/data-engineer
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Google Professional-Data-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Ensuring solution quality and reliability | 17% | - Testing and validating data systems
|
| Topic 2: Designing data processing systems | 20% | - Designing for regulatory and security requirements
|
| Topic 3: Operationalizing machine learning models | 20% | - Preparing data for ML
|
| Topic 4: Building and operationalizing data processing systems | 25% | - Building data pipelines
|
| Topic 5: Maintaining and automating data workloads | 18% | - Automation and repeatability
|
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