AP Computer Science Practice Test 2025 – Complete Exam Prep

The correct answer is overflow. This type of error occurs when a calculation produces a number that is larger than the maximum value that can be represented within the available bits of a given data type. For instance, if a program is using an 8-bit unsigned integer, the maximum value it can store is 255. If an operation results in a number greater than 255, the data cannot be represented properly, leading to overflow.

In this scenario, the visual representation of the number might wrap around to a lower value, which can cause incorrect calculations or unexpected behavior in a program. Understanding overflow is crucial in computer science, as it helps programmers anticipate potential errors when dealing with numbers that may exceed the limits of the type they are using.

Other options like round-off refer to approximations made when representing floating-point numbers, while lossy and lossless pertain to data compression methods and do not directly relate to numerical representation limits.