Unintended or unauthorized deletion, corruption, alteration, or loss of data is called what?

Get ready for the ISACA AI Fundamentals Test with flashcards and multiple-choice questions. Each question features hints and detailed explanations. Prepare to ace your exam with confidence!

Multiple Choice

Unintended or unauthorized deletion, corruption, alteration, or loss of data is called what?

Explanation:
Data loss refers to unintended or unauthorized deletion, corruption, alteration, or loss of data. This describes scenarios like accidentally deleting a file, a disk failure corrupting records, or malware erasing data, where the information is either missing or no longer trustworthy. The other terms point to different issues: biased training data is about AI training data that skews results, unpredictability in AI relates to inconsistent outputs rather than lost data, and data governance is the framework of policies for managing data—not the state of the data itself. To prevent data loss, use regular backups, versioning, data integrity checks (like hashes), redundant storage, and solid access controls plus disaster recovery planning.

Data loss refers to unintended or unauthorized deletion, corruption, alteration, or loss of data. This describes scenarios like accidentally deleting a file, a disk failure corrupting records, or malware erasing data, where the information is either missing or no longer trustworthy. The other terms point to different issues: biased training data is about AI training data that skews results, unpredictability in AI relates to inconsistent outputs rather than lost data, and data governance is the framework of policies for managing data—not the state of the data itself. To prevent data loss, use regular backups, versioning, data integrity checks (like hashes), redundant storage, and solid access controls plus disaster recovery planning.

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