Which statement best defines data reliability?

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Multiple Choice

Which statement best defines data reliability?

Explanation:
Data reliability means you can trust the data to support decision-making. The best statement captures the qualities that make data trustworthy for use: it is accurate, complete, and unbiased, and it has been vetted for use. Accuracy ensures the data reflects the true values; completeness means important information isn’t missing; being unbiased reduces distortions that could skew results; and vetting for use adds quality checks so the data is appropriate for its purpose. Other aspects don’t fully address trustworthiness. Being current and consistent touches timeliness and internal consistency but doesn’t guarantee accuracy or fullness. Encryption and security protect who can access the data, not whether the data is accurate or complete. Storing data in a data lake relates to where and how data is kept, not to its reliability.

Data reliability means you can trust the data to support decision-making. The best statement captures the qualities that make data trustworthy for use: it is accurate, complete, and unbiased, and it has been vetted for use. Accuracy ensures the data reflects the true values; completeness means important information isn’t missing; being unbiased reduces distortions that could skew results; and vetting for use adds quality checks so the data is appropriate for its purpose.

Other aspects don’t fully address trustworthiness. Being current and consistent touches timeliness and internal consistency but doesn’t guarantee accuracy or fullness. Encryption and security protect who can access the data, not whether the data is accurate or complete. Storing data in a data lake relates to where and how data is kept, not to its reliability.

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