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Question

What does Big O notation primarily

describe?

A The exact running time of an algorithm in milliseconds.

B The space complexity of an algorithm.

C The upper bound or worst-case growth rate of an algorithm's running time or space requirements.

D The average-case performance of an algorithm.

E The best-case scenario for an algorithm's execution.

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