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Google Professional-Cloud-Database-Engineer Exam

Professional Cloud Database Engineer

Last Updated: Jun 29, 2024
qa 132

132 Questions and Answers for the Google Professional-Cloud-Database-Engineer exam

qa 462

Students Passed the "Google Professional-Cloud-Database-Engineer" exam

qa 94.3%

Average score during Real Exams at the Testing Centre

Google Professional Cloud Database Engineer Syllabus
  • Evaluate performance and cost tradeoffs of different database configurations/ Plan database upgrades for Google Cloud-managed databases
  • Provision high availability database solutions in Google Cloud/ Design scalable and highly available cloud database solutions
  • Determine the correct database migration tools for a given scenario/ Size database compute and storage based on performance requirements
  • Plan and perform database migration, including fallback plans and schema conversion/ Test high availability and disaster recovery strategies periodically
  • Distinguish between SQL and NoSQL business requirements/ Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
  • Apply concepts to implement highly scalable and available databases in Google Cloud/ Given a scenario, define maintenance windows and notifications based on application availability requirements
  • Analyze relevant variables to perform database capacity and usage planning/ Design scalable, highly available, and secure databases
  • Differentiate between managed and unmanaged database services/ Analyze the cost of running database solutions in Google Cloud
  • Reverse replication from Google Cloud to source/ Evaluate appropriate database solutions on Google Cloud
  • Manage database users, including authentication and access/ Continuously assess and optimize the cost of running a database solution
  • Design for recovery time objective (RTO) and recovery point objective (RPO)/ Assess slow running queries and database locking and identify missing indexes
  • Deploy scalable and highly available databases in Google Cloud/ Determine database connectivity and access management considerations
  • Automate database instance provisioning/ Determine how applications will connect to the database
  • Justify the use of session pooler services/ Given a scenario, perform solution sizing based on current environment workload metrics and future requirements