PDF Version DemoTarget Audience
The candidates for this certification are the data engineers or those aiming to become one. These individuals should have the capacity to allow data-driven decision-making through the collection, transformation, and publishing of data. They have the expertise in designing, building, and operationalizing secure data processing systems and monitoring the same. This is with the specific emphasis on compliance and security, fidelity and reliability, portability and flexibility, as well as efficiency and scalability.
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How to book Google Professional Data Engineer Exams
The registration for the Google Professional Data Engineer Exam follows the steps given below.
- Step2: Sign in or sign up to your Google Cloud Webassessor account
- Step3: Search for the exam name Google Professional Data Engineer
- Step1: Visit the Google Cloud Webassessor Website
- Step4: Take the date of the exam, choose exam center and make further payment using payment method like credit/debit etc.
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日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Maintaining and automating data workloads (~15% of the exam) | 15% | - Designing for reliability and fidelity
|
| Topic 2: Preparing and using data for analysis (~15% of the exam) | 15% | - Preparing data for visualization
|
| Topic 3: Storing the data (~20% of the exam) | 20% | - Using a data lake
|
| Topic 4: Designing data processing systems (~30% of the exam) | 30% | - Designing data pipelines
|
| Topic 5: Ingesting and processing the data (~20% of the exam) | 20% | - Building and maintaining data structures and databases
|
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