Time Complexity is defined in terms of-Select one:a.Abstract levelb.Implementation levelc.Spaced.Amount of input data

The time complexity of an algorithm is defined in terms of the amount of input data. So, the correct answer is d. Amount of input data.

Here's a step-by-step explanation:

1. Time complexity is a concept in computer science that deals with the quantification of the amount of time taken by a set of code or algorithm to process or run as a function of the amount of input.

2. In other words, time complexity of an algorithm quantifies the amount of time taken by an algorithm to run, as a function of the length of the input. It measures the time required to execute each statement of code in an algorithm.

3. Therefore, time complexity is not defined at an abstract level or implementation level, and it's not related to space. Instead, it's directly related to the amount of input data. The larger the input, the longer the time required for the algorithm to run.

4. So, the correct answer is d. Amount of input data.