Preparing for the exam requires a combination of hands-on experience with Google Cloud Platform, as well as studying relevant documentation and training materials. Google offers a variety of resources for exam preparation, including online courses, hands-on labs, and practice exams.
Reference: https://cloud.google.com/certification/data-engineer
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Google Professional-Data-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Maintaining and automating data workloads (~15% of the exam) | 15% | - Automating data processes
|
| Storing the data (~20% of the exam) | 20% | - Using a data lake
|
| Ingesting and processing the data (~20% of the exam) | 20% | - Deploying and operationalizing the pipelines
|
| Preparing and using data for analysis (~15% of the exam) | 15% | - Preparing data for visualization
|
| Designing data processing systems (~30% of the exam) | 30% | - Selecting appropriate storage technologies
|







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