Why is a linear search not generally suitable for searching large amounts of data? (1 point)

Question

Responses

A linear search is not reusable, and it is very problem-specific.
A linear search is not reusable, and it is very problem-specific.

A linear search takes up significant amounts of memory while it processes.
A linear search takes up significant amounts of memory while it processes.

A linear search is difficult to implement.
A linear search is difficult to implement.

A linear search is significantly slower than other search algorithms when searching large datasets.
A linear search is significantly slower than other search algorithms when searching large datasets.
Remaining Attempts : 3

Answer 1

The correct response is:

A linear search is significantly slower than other search algorithms when searching large datasets.

Linear search has a time complexity of O(n), meaning that in the worst case, it will need to check each element in the dataset one by one. This makes it inefficient for large datasets compared to more advanced search algorithms such as binary search, which has a time complexity of O(log n) but requires the data to be sorted.