Who is the Professional Data Engineer Exam Intended for?
This exam is designed for individuals who are experts in designing, building, securing, and monitoring data processing systems with a particular emphasis on compliance and security. The candidate who wants to take the Professional Data Engineer exam should have the ability to deploy, leverage, and training pre-existing machine learning models. Moreover, every applicant should have experience of more than 3 years including 1-year experience in designing and handling solutions utilizing GCP.
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Requirements
The certification does not have any official prerequisites. However, it is advised to have at least three years of industry experience with one or more years of expertise in designing and managing different solutions with the use of Google Cloud Platform. It is also required to review the topics of the qualifying exam before sitting for it.
Reference: https://cloud.google.com/certification/data-engineer
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
- Step4: Take the date of the exam, choose exam center and make further payment using payment method like credit/debit etc.
- Step3: Search for the exam name Google Professional Data Engineer
- Step1: Visit the Google Cloud Webassessor Website
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Google Professional-Data-Engineer日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and operationalizing data processing systems | 25% | - Deploying and managing systems
|
| Topic 2: Operationalizing machine learning models | 20% | - Preparing data for ML
|
| Topic 3: Ensuring solution quality and reliability | 17% | - Troubleshooting and optimization
|
| Topic 4: Designing data processing systems | 20% | - Designing for regulatory and security requirements
|
| Topic 5: Maintaining and automating data workloads | 18% | - Resource optimization
|
