In a distributed Cassandra database, information entropy can occur when replicas hold inconsistent data. During an anti-entropy repair session, how does Cassandra detect and resolve these inconsistencies most efficiently?

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Answer

By performing periodic global synchronization across all nodes regardless of data changes, ensuring uniformity of replicas.

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By exchanging version numbers for each record and keeping the version with the smallest timestamp.

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By comparing the full datasets of all replicas directly and replacing the entire data file if differences are found.

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By exchanging Merkle trees (hash structures) between replicas, identifying differing branches, and synchronizing only the inconsistent data based on timestamps.

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In a distributed Cassandra database, information entropy can occur when replicas...

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