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      Question

      In the context of algorithm analysis, what does "Big O

      notation" primarily describe?
      A The exact running time of an algorithm in milliseconds. Correct Answer Incorrect Answer
      B The amount of memory an algorithm uses. Correct Answer Incorrect Answer
      C The upper bound or worst-case growth rate of an algorithm's time or space complexity as the input size approaches infinity. Correct Answer Incorrect Answer
      D The average-case performance of an algorithm. Correct Answer Incorrect Answer
      E The number of lines of code in an algorithm. Correct Answer Incorrect Answer

      Solution

      Big O notation (O) is used to classify algorithms according to how their running time or space requirements grow as the input size grows. It specifically describes the upper bound or worst-case scenario, providing an asymptotic analysis of the algorithm's efficiency.

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