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Answer: Use Cloud Spanner to set up a single region instance initially, then configure multi-region Cloud Spanner instances once funding is secured.
**Correct Answer: D** - **Cloud Spanner** is a globally distributed, horizontally scalable, and strongly consistent database service by Google Cloud Platform, ideal for serving customers globally due to its multi-region capabilities, ensuring low-latency data access across regions. - Starting with a single region instance of Cloud Spanner allows for cost optimization initially, with the flexibility to scale to multi-region instances post-funding, balancing cost-effectiveness with future scalability and performance needs. **Why other options are incorrect:** - **A & D:** Cloud SQL for PostgreSQL, whether zonal or highly available, lacks the global scalability and performance of Cloud Spanner, making it less suitable for a globally distributed application. - **B & C:** While Bigtable offers replication across regions, it may not provide the optimal performance and consistency for a globally distributed application as effectively as Cloud Spanner.
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Your startup operates a web application serving customers in a single region in Asia. With plans to expand globally after securing funding, you need to optimize for cost initially, then for global presence and performance. The requirement is to use a native JDBC driver. What is the best approach to achieve these goals?
A
Start with a Cloud SQL for PostgreSQL zonal instance, then upgrade to a highly available configuration after securing funding.
B
Begin with a Cloud SQL for PostgreSQL highly available instance, then expand to Bigtable with replication in US, Europe, and Asia post-funding.
C
Initiate with a Cloud SQL for PostgreSQL zonal instance, then move to Bigtable with replication in US, Europe, and Asia after funding.
D
Use Cloud Spanner to set up a single region instance initially, then configure multi-region Cloud Spanner instances once funding is secured.
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