Chapter 7Designing Databases for Reliability, Scalability, and Availability

Google Cloud Professional Data Engineer Exam objectives covered in this chapter include the following:

  • 4.  Ensuring solution quality
    • ✔ 4.2 Ensuring scalability and efficiency. Considerations include:
      • Building and running test suites
      • Assessing, troubleshooting, and improving data representations and data processing infrastructure
      • Resizing and autoscaling resources
    • ✔ 4.3 Ensuring reliability and fidelity. Considerations include:
      • Performing data preparation and quality control (e.g., Cloud Dataprep)
      • Verification and monitoring
      • Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)

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