Google Professional-Cloud-Database-Engineer : Google Cloud Certified - Professional Cloud Database Engineer

  • Exam Code: Professional-Cloud-Database-Engineer
  • Exam Name: Google Cloud Certified - Professional Cloud Database Engineer
  • Updated: Jul 07, 2026
  • Q & A: 220 Questions and Answers

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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:

TopicDetails
Topic 1
  • Deploy scalable and highly available databases in Google Cloud
  • Determine database connectivity and access management considerations
Topic 2
  • Provision high availability database solutions in Google Cloud
  • Design scalable and highly available cloud database solutions
Topic 3
  • Plan and perform database migration, including fallback plans and schema conversion
  • Test high availability and disaster recovery strategies periodically
Topic 4
  • 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
Topic 5
  • Reverse replication from Google Cloud to source
  • Evaluate appropriate database solutions on Google Cloud
Topic 6
  • Analyze relevant variables to perform database capacity and usage planning
  • Design scalable, highly available, and secure databases
Topic 7
  • Justify the use of session pooler services
  • Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
Topic 8
  • Distinguish between SQL and NoSQL business requirements
  • Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
Topic 9
  • Differentiate between managed and unmanaged database services
  • Analyze the cost of running database solutions in Google Cloud
Topic 10
  • Manage database users, including authentication and access
  • Continuously assess and optimize the cost of running a database solution
Topic 11
  • Determine the correct database migration tools for a given scenario
  • Size database compute and storage based on performance requirements
Topic 12
  • Evaluate performance and cost tradeoffs of different database configurations
  • Plan database upgrades for Google Cloud-managed databases
Topic 13
  • Design for recovery time objective (RTO) and recovery point objective (RPO)
  • Assess slow running queries and database locking and identify missing indexes

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

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