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