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Which Google Cloud product is best suited for an application that requires consistent transaction handling and anticipates significant data growth?

  1. Cloud Spanner

  2. BigQuery

  3. Cloud SQL

  4. Cloud Storage

The correct answer is: Cloud Spanner

Cloud Spanner is the ideal choice for an application that requires consistent transaction handling and anticipates significant data growth due to its unique combination of features that support scalability and strong consistency. Cloud Spanner is designed as a horizontally scalable, distributed relational database service, providing high availability and low-latency access to data, making it suitable for applications with a large number of simultaneous transactions and extensive datasets. Its use of a strong consistency model ensures that transactions are reliably handled, which is crucial for many applications where data integrity and accuracy are paramount. Moreover, Cloud Spanner automatically manages data replication and sharding, allowing it to scale seamlessly as data volume increases. This makes it a resilient choice for applications expecting growth over time, as it can handle increasing workloads without compromising performance or requiring significant architectural changes. In contrast, the other options serve different purposes. BigQuery is optimized for analytical queries over large datasets rather than transaction processing, making it less suitable for applications requiring immediate transactional consistency. Cloud SQL is a managed relational database service, but it may struggle with the scale required for substantial data growth as effectively as Cloud Spanner. Cloud Storage is primarily used for unstructured data and lacks transactional capabilities, focusing instead on object storage without built-in support for complex queries or