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A replication system that ensures data remains synchronized across multiple data centers for fault tolerance is synchronous replication. In this method, data is written to multiple locations at the same time, ensuring that all copies are updated simultaneously. This immediate consistency model guarantees that if one data center were to fail, the other center would have an exact replica of the data at the moment of failure, providing high availability and resilience against data loss.

This is particularly crucial in environments where data integrity and consistency are of the utmost importance, such as in financial transactions or real-time data processing applications. Synchronous replication minimizes the risk of data divergence, making it an ideal solution for organizations requiring dependable disaster recovery strategies and robust data management practices.

Other types of replication, while useful in different contexts, do not offer the same level of immediate consistency. For instance, asynchronous replication involves a delay in transferring data updates, which may lead to temporary inconsistencies between data centers. Incremental replication pertains to only replicating changes made since the last replication, rather than maintaining real-time synchronization. Continuous replication typically refers to ongoing data replication but does not specifically guarantee synchronization at the moment of each write operation, thus may include delays similar to asynchronous replication.