Data integrity in distributed databases used in MIPC means what?

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Multiple Choice

Data integrity in distributed databases used in MIPC means what?

Explanation:
Data integrity in distributed databases is about keeping data accurate and consistent across all the nodes in the system. When data is spread out and updates happen, every replica should end up reflecting the same true value. Mechanisms like atomic transactions, versioning, and consensus protocols help ensure that writes are applied consistently and conflicts are resolved so no part of the system holds a stale or incorrect copy. That’s why the best choice is the one that says data remains accurate and consistent across the system. Encryption at rest protects confidentiality, not correctness or uniformity of data. Storing data on a single node defeats the purpose of distribution, which relies on multiple copies for fault tolerance and availability. Never replicating data removes redundancy and makes maintaining consistency harder, not easier, for integrity.

Data integrity in distributed databases is about keeping data accurate and consistent across all the nodes in the system. When data is spread out and updates happen, every replica should end up reflecting the same true value. Mechanisms like atomic transactions, versioning, and consensus protocols help ensure that writes are applied consistently and conflicts are resolved so no part of the system holds a stale or incorrect copy. That’s why the best choice is the one that says data remains accurate and consistent across the system.

Encryption at rest protects confidentiality, not correctness or uniformity of data. Storing data on a single node defeats the purpose of distribution, which relies on multiple copies for fault tolerance and availability. Never replicating data removes redundancy and makes maintaining consistency harder, not easier, for integrity.

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