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Career Path

Completing the exam associated with the Google Professional Data Engineer certification provides you with a great validation of your skills in designing, building, operationalizing, securing, and monitoring data processing systems. The job roles that you can take up after getting certified include a Google Cloud Data Engineer, an Operations Engineer, a Cloud Infrastructure Engineer, a DevOps Infrastructure Engineer, a Cloud Database Engineer, a Google Cloud IAM Engineer, a DataOps Engineer, a Big Data Engineer, a Google Cloud Platform Data Architect, and more. The average salary that you can expect to earn with this certificate is around $125,550 per year. However, the real remuneration will depend on a specific job title, location of an individual, and his/her working experience.

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

The following will be discussed here:

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

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

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Google Professional Data Engineer Practice Test Questions, Google Professional Data Engineer Exam Practice Test Questions

The Google Professional Data Engineer certification is designed to evaluate the candidates’ skills in designing data processing systems and ensuring solution quality. It is also created to measure their competence in building and operationalizing data processing systems and operationalizing ML models. The potential applicants must complete a single exam to get certified.

Google Professional-Data-Engineer Exam Syllabus Topics: