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In a computational complexity theory, a problem with decision making is said to be NP-complete

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In a computational complexity theory, a problem with decision making is said to be NP-complete when it is both in NP and NP-hard. What does NP mean?
a) Non Polynomial time
b) Non-deterministic Probabilistic
c) Non-deterministic Polynomial time
d) Non Probabilistic time

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Answer: c (Non-deterministic Polynomial time)

Explanation: Although any given solution to an NP-complete problem can be validated quickly in polynomial time; there is no way to efficiently locate a solution to begin with. The unique characteristic of NP-complete problems is that no fast solution to them is known and hence NP-complete problems are said to be non-deterministic polynomial time.

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