Why is it preferable to use a linear search when searching smaller datasets?(1 point) Responses A linear search is more efficient with its memory allocation when searching smaller datasets. A linear search is more efficient with its memory allocation when searching smaller datasets. A linear search requires fewer lines of code to search smaller datasets. A linear search requires fewer lines of code to search smaller datasets. A linear search is easy to implement and faster than other algorithms when searching smaller datasets. A linear search is easy to implement and faster than other algorithms when searching smaller datasets. A linear search is the best option for smaller datasets and larger datasets, too.

Answer 1

The correct response is: A linear search is easy to implement and faster than other algorithms when searching smaller datasets.

When dealing with smaller datasets, the overhead and complexity of more sophisticated search algorithms, such as binary search or hash tables, may not be necessary. Linear search involves sequentially checking each element of the dataset until the desired item is found, which is a simple and straightforward process.

The simplicity of linear search leads to fewer lines of code, making it easier to implement and understand. Additionally, when dealing with smaller datasets, the performance difference between linear search and other algorithms may not be significant enough to justify the additional complexity.

Therefore, for smaller datasets, a linear search is often the preferred choice due to its simplicity and relatively faster execution without the need for additional memory allocation or code complexity.