There are relatively less number of comparisons in binary search than that in linear search. In average case, linear search takes O(n) time to search a list of n elements while Binary search takes O(log n) time to search a list of n elements.

In a data structure interview, if you’re asked about the advantages of binary search over linear search, you can provide the following points:

Efficiency: Binary search operates with a time complexity of O(log n), where n is the number of elements in the sorted array. On the other hand, linear search has a time complexity of O(n), which means as the size of the array grows, binary search becomes significantly faster compared to linear search.
Better Performance on Sorted Data: Binary search requires the data to be sorted beforehand, but if the data is already sorted, binary search provides a much faster search compared to linear search. Linear search does not require sorted data but may have to traverse the entire array to find the desired element.
Reduced Comparisons: Binary search drastically reduces the number of comparisons needed to find an element, especially in large datasets. In each step of binary search, the search space is halved, leading to a logarithmic number of comparisons. In contrast, linear search requires potentially examining every element in the worst-case scenario.
Optimal for Static Data: If the data does not change frequently and sorting can be done once before searching, binary search offers optimal search performance. Linear search is more suitable for dynamic data or situations where the data is unsorted and frequently changing.
Space Complexity: Binary search typically requires less space compared to linear search, especially in recursive implementations, as it only requires a constant amount of additional space for storing pointers or indices.
Ease of Implementation: While both algorithms are relatively simple, binary search can be easier to implement correctly due to its straightforward iterative or recursive nature, especially when dealing with sorted arrays.

These advantages make binary search a preferred choice over linear search in scenarios where efficiency and reduced comparisons are critical, especially for large datasets or when searching in sorted collections.