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

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

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

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