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Multiple Choice

Which option describes a data integrity check commonly used in storage?

Data integrity checks are methods that verify stored or transmitted data hasn't been corrupted. A mechanism like CRC or parity adds redundant information to data so that, when the data is read or received, the system can recompute the check value and compare it to what was stored or sent. If the values don’t match, corruption is detected, allowing the system to raise an error, retry, or use redundancy to recover the original data. This approach is fundamental in storage and transfer scenarios because hardware faults or interference can flip bits, and having a way to detect those changes helps maintain reliability. Compression changes the size of data and does not serve to detect corruption. A snapshot captures a point-in-time copy but doesn’t verify data integrity. Encryption protects confidentiality (and can provide some integrity protections in certain modes) but isn’t the standard mechanism used to detect or report data corruption during storage or transfer.

Data integrity checks are methods that verify stored or transmitted data hasn't been corrupted. A mechanism like CRC or parity adds redundant information to data so that, when the data is read or received, the system can recompute the check value and compare it to what was stored or sent. If the values don’t match, corruption is detected, allowing the system to raise an error, retry, or use redundancy to recover the original data. This approach is fundamental in storage and transfer scenarios because hardware faults or interference can flip bits, and having a way to detect those changes helps maintain reliability.

Compression changes the size of data and does not serve to detect corruption. A snapshot captures a point-in-time copy but doesn’t verify data integrity. Encryption protects confidentiality (and can provide some integrity protections in certain modes) but isn’t the standard mechanism used to detect or report data corruption during storage or transfer.