Question

When is lossy compression typically applied to data?

a.

When data fragments are known to be repetitive.

b.

When data will be used in an unknown manner.

c.

When all essential data features must be preserved.

d.

When data clusters have quasi-periodical features.

Posted under Big Data Computing

Answer: (b).When data will be used in an unknown manner. Explanation:Lossy compression is typically applied to data when it is known how the data will be used, at least potentially. This means that some data fractions may be sacrificed without losing the required facets of semantics and overall data quality.

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