Which best describes data integrity?

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Multiple Choice

Which best describes data integrity?

Explanation:
Data integrity is about data remaining accurate, consistent, and trustworthy throughout its lifecycle. When data is reliable, you can depend on it for making decisions, reporting, and automation because you know it reflects the real state it’s meant to represent. That’s why the best description is ensuring data is reliable. Encryption protects confidentiality, not integrity by itself—data can be encrypted but still corrupted or tampered with. Duplicating data helps with availability and recovery, but it doesn’t guarantee that the data itself hasn’t been altered. And integrity isn’t about performance; it’s about correctness and trustworthiness of the data.

Data integrity is about data remaining accurate, consistent, and trustworthy throughout its lifecycle. When data is reliable, you can depend on it for making decisions, reporting, and automation because you know it reflects the real state it’s meant to represent. That’s why the best description is ensuring data is reliable.

Encryption protects confidentiality, not integrity by itself—data can be encrypted but still corrupted or tampered with. Duplicating data helps with availability and recovery, but it doesn’t guarantee that the data itself hasn’t been altered. And integrity isn’t about performance; it’s about correctness and trustworthiness of the data.

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