For a fintech company using GCP to achieve data redundancy across multiple regions while maintaining low latency for an international user base, which combination of services is most effective?

*A fintech company leveraging Google Cloud Platform (GCP) to ensure data redundancy and minimize latency for a global user base would greatly benefit from combining Spanner with a multi-region configuration and Cloud CDN. Spanner's multi-region configuration offers a unique blend of high availability, strong consistency, and global distribution, making it ideal for financial applications requiring robust data redundancy. This configuration ensures that data is replicated across multiple regions, providing both redundancy and low latency for users across the globe. Furthermore, Spanner's architecture inherently supports horizontal scaling and strong transactional consistency, crucial for high-demand financial services. Cloud CDN (Content Delivery Network) complements this setup by using Google's globally distributed edge locations to serve content closer to users, further reducing latency. In contrast, other service combinations like Cloud Bigtable with Cloud Endpoints, or Cloud SQL with read replicas, do not offer the same level of global distribution and latency optimization. Datastore, while effective for certain use cases, is not specifically designed for the complex redundancy and low latency requirements of a global fintech application. Similarly, BigQuery is oriented towards analytics workloads and, alongside Cloud Scheduler, does not align with the primary requirements of data redundancy and low latency in a global context.*