Understanding the distribution of classification is vital to understanding the levels of sensitive data. If there is an overclassification of data, this might indicate an unnecessarily costly means of securing data that is not as vital, whereas underclassification suggests that the most vital data may not be sufficiently secured. a. True b. False

True

Explanation: When the distribution of classification is well understood, then the importance and sensitivity of the data will be known. Highly sensitive Data require careful handling ,storage and protection in other to avoid losing such data or data leakage which could lead to devastating consequences. Some data however, may not possess the same level of fragility and importance. When a data is incorrectly classed as being vital, this is called overclassification, which may result in spending excessively in other to guard informations which aren't so vital or underclassification, incorrectly overlooking vital information or treating vital information with levity.