~/gcp-cloud-database-engineer · Design scalable and highly available cloud database solutions ▊
← Professional Cloud Database Engineer
GCP · objective · 25% of the exam
Design scalable and highly available cloud database solutions — Professional Cloud Database Engineer
The official GCP documentation our Design scalable and highly available cloud database solutions practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
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Google Cloud — Spanner: Always-on, virtually unlimited scale database | Google Cloud
By deploying Spanner Omni in a secondary cloud or on-premises data center as a "hot/cold" failover site for your primary Spanner managed service in Google
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Google Cloud — AlloyDB for PostgreSQL | Google Cloud
Read pools are updated with zero downtime.
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Google Cloud — Cloud SQL for MySQL, PostgreSQL, and SQL Server | Google Cloud
scale out by adding read replicas to handle increasing read traffic. Cloud SQL can also automatically scale up storage capacity when you’re near your limit.
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Google Cloud — Google Cloud databases | Google Cloud
Memorystore : Fully managed, in-memory database service for Valkey, Redis*, and Memcached, offering sub-millisecond data access, scalability, and high availability.