Sliding Window Technique Quiz

What is the main purpose of the sliding window technique?

• Sorting an array efficiently

• Finding the maximum or minimum element in an array

• Optimizing the process of finding subarrays/substrings meeting certain conditions

• Searching for an element in a linked list

In which of the following scenarios is the sliding window technique most commonly used?

• Finding the shortest path in a graph

• Computing running sums or averages over a subarray

• Performing a binary search on a sorted list

• Implementing depth-first search in a tree

What is the time complexity of the sliding window approach in most cases?

• O(n²)

• O(n log n)

• O(n)

• O(log n)

Which of the following problems can be solved efficiently using the sliding window technique?

• Longest Substring Without Repeating Characters

• Maximum Sum Subarray of Size K

• Smallest Subarray with Sum Greater Than X

• All of the above

What is the key difference between a fixed and a variable sliding window?

• A fixed window has a constant size, while a variable window can expand or shrink

• A fixed window moves forward with every iteration, while a variable window moves randomly

• A fixed window only applies to strings, while a variable window applies to arrays

• A fixed window is more efficient in all cases compared to a variable window

The sliding window technique is only useful for problems involving integers. (True/False)

• True

• False

A brute force approach is always faster than the sliding window technique. (True/False)

• True

• False

The sliding window technique can be used to solve problems involving strings and arrays. (True/False)

• True

• False