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Answer: Use Cloud Spanner to configure a single region instance initially, and then configure multi-region Cloud Spanner instances after securing funding.
The best option is A, which suggests using Cloud Spanner configured as a single region instance initially for cost optimization, and then configuring multi-region Cloud Spanner instances after securing funding. Cloud Spanner supports native JDBC drivers and offers high performance and scalability. A single region instance is cost-effective initially, and multi-region instances provide lower latency and high availability globally after funding is secured. Thus, option A best addresses both the immediate cost concerns and the long-term goal of global presence and performance.
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Your startup operates a web application currently serving customers in a single region in Asia. In an effort to secure funding for global expansion, you aim to transition from focusing solely on cost optimization to enhancing global presence and performance post-funding. It is essential to utilize a native JDBC driver in this transition. What steps should you take to achieve these goals?
A
Use Cloud Spanner to configure a single region instance initially, and then configure multi-region Cloud Spanner instances after securing funding.
B
Use a Cloud SQL for PostgreSQL highly available instance first, and Bigtable with US, Europe, and Asia replication after securing funding.
C
Use a Cloud SQL for PostgreSQL zonal instance first, and Bigtable with US, Europe, and Asia after securing funding.
D
Use a Cloud SQL for PostgreSQL zonal instance first, and Cloud SQL for PostgreSQL with highly available configuration after securing funding.
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