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What is the duration, language, and format of Google Professional Data Engineer Exam

• Cost: $200
• Language: English (U.S.), Japanese, Spanish, and Portuguese
• Passing score: 80%
• Number of Questions: 50-60
• Format: Multiple choices, multiple answers
• Length of Examination: 120 minutes

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

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

The following will be discussed here:

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

Introduction

Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise. This IT role requires a significant set of technical skills, including a deep knowledge of SQL database design and multiple programming languages They collect, transform, and visualize data. The Data Engineer designs, builds, maintains, and troubleshoots data processing systems with a particular emphasis on the security, reliability, fault-tolerance,scalability, fidelity, and efficiency of such systems.

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Google Professional-Data-Engineer Exam Syllabus Topics: