Google Professional Cloud Database Engineer
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Ultimate access to all questions.
Your company is building a global e-commerce platform on Google Cloud. The development team is designing a shopping cart service that must be resilient, elastically scalable under live traffic, and maintain sub-5-minute monthly unplanned downtime. The solution also requires extremely low-latency writes. Which data storage option should you choose to ensure high write throughput and 99.99% availability?
Explanation:
Given the requirements of high write throughput, very low latency writes, and 99.99% uptime, along with the need for durability and elastic scalability, Cloud Spanner is the most suitable option. Cloud Spanner is a globally distributed database service that provides high availability (99.99% uptime), strong consistency, and elastic scalability, making it ideal for global ecommerce applications. Cloud SQL, while durable, does not offer the same level of scalability and global distribution as Cloud Spanner. Memorystore is an in-memory data store, which does not provide the durability required for a shopping cart service. Bigtable is suitable for high throughput and low latency but does not guarantee the same level of uptime as Cloud Spanner and is more suited for analytical workloads rather than transactional ones like a shopping cart service.