Question: When classified data is aggregated, what typically happens to its classification level?

A.  Remains the same

B.  Decreases

C.  Increases

D.  Not predictable

Correct Answer: C

Explanation:

Remains the same: While it's possible that aggregation might not change the sensitivity of the data in some cases, it's generally more likely that putting classified data together will result in a higher level of sensitivity due to the potential for revealing new patterns or information.

Decreases: Aggregating classified data would generally not result in a decrease in its classification level. More data usually means more sensitivity, not less.

Increases: As explained, the act of combining individual pieces of classified data generally makes the aggregated set more sensitive, leading to an increase in its classification level.

Not predictable: While there may be some exceptions or unique cases, the general trend is that aggregation of classified data leads to an increase in classification level.