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Google Professional-Cloud-Database-Engineer Exam Syllabus Topics:
| Topic | Details |
|---|
| Topic 1 | - Justify the use of session pooler services
- Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
|
| Topic 2 | - Provision high availability database solutions in Google Cloud
- Design scalable and highly available cloud database solutions
|
| Topic 3 | - Automate database instance provisioning
- Determine how applications will connect to the database
|
| Topic 4 | - Evaluate performance and cost tradeoffs of different database configurations
- Plan database upgrades for Google Cloud-managed databases
|
| Topic 5 | - Design for recovery time objective (RTO) and recovery point objective (RPO)
- Assess slow running queries and database locking and identify missing indexes
|
| Topic 6 | - Determine the correct database migration tools for a given scenario
- Size database compute and storage based on performance requirements
|
| Topic 7 | - Reverse replication from Google Cloud to source
- Evaluate appropriate database solutions on Google Cloud
|
| Topic 8 | - Plan and perform database migration, including fallback plans and schema conversion
- Test high availability and disaster recovery strategies periodically
|
| Topic 9 | - Deploy scalable and highly available databases in Google Cloud
- Determine database connectivity and access management considerations
|
| Topic 10 | - Analyze relevant variables to perform database capacity and usage planning
- Design scalable, highly available, and secure databases
|
| Topic 11 | - Manage database users, including authentication and access
- Continuously assess and optimize the cost of running a database solution
|
Reference: https://cloud.google.com/certification/cloud-database-engineer
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