Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) : Professional-Data-Engineer日本語

This course is normally taken by data scientists, data analysts, and business analysts who are in the field of Google Сloud. It is a good way to prepare for your final exam because it teaches you all the details including 7 modules that cover all the Professional Data Engineer exam objectives:

• Machine Learning
• Scaling Data Analytics
• Introducing Google Cloud Platform ‘
• Compute and Storage Fundamentals
• Data Processing Architectures
• Additional Resources
• Data Analytics on the Cloud

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Understanding functional and technical aspects of Google Professional Data Engineer Exam Ensuring solution quality

The following will be discussed here:

• Assessing, troubleshooting, and improving data representations and data processing infrastructure
• Designing for data and application portability (e.g., multi-cloud, data residency requirements)
• Data security (encryption, key management)
• Ensuring scalability and efficiency
• Resizing and autoscaling resources
• Data staging, cataloging, and discovery
• Choosing between ACID, idempotent, eventually consistent requirements
• Performing data preparation and quality control (e.g., Cloud Dataprep)
• Ensuring reliability and fidelity
• Identity and access management (e.g.,Cloud IAM)
• Verification and monitoring
• Legal compliance (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children's Online Privacy Protection Act (COPPA), FedRAMP, General Data Protection Regulation (GDPR))
• Ensuring flexibility and portability
• Mapping to current and future business requirements
• Designing for security and compliance
• Pipeline monitoring (e.g., Stackdriver)
• Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)
• Ensuring privacy (e.g., Data Loss Prevention API)
• Building and running test suites

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Prerequisites

There are no formal requirements that the candidates need to meet to qualify for the Google Professional Data Engineer certification. However, without some level of professional experience, it will be difficult for the students to ace the qualifying test. The target individuals are recommended to have three or more years of industry experience, including one or more years of experience in designing and managing solutions with the help of Google Cloud Platform. It is preferable that the applicants also possess some basic database knowledge.

Reference: https://cloud.google.com/certification/data-engineer

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