CodeSignal Technical Assessment Algorithm Design

Question 1

What is the two-pointer technique?

Accepted Answer

Using two pointers moving toward each other or in the same direction to solve array problems efficiently

Answer

The two-pointer technique reduces time complexity by processing elements from both ends or tracking two positions simultaneously.

Question 2

What is the sliding window technique?

Accepted Answer

Maintaining a window of elements that slides through an array to solve subarray/substring problems

Answer

The sliding window maintains a contiguous subset of elements and slides through the data to find optimal subarrays.

Question 3

What is memoization?

Accepted Answer

Caching results of expensive function calls to avoid recomputation

Answer

Memoization stores previously computed results so that identical function calls return cached results instead of recomputing.

Question 4

What is the greedy algorithm approach?

Accepted Answer

Making the locally optimal choice at each step hoping to find the global optimum

Answer

Greedy algorithms build solutions incrementally by always choosing the best available option at each step.

Question 5

What is Big O notation?

Accepted Answer

A mathematical notation describing the upper bound of an algorithms time or space complexity

Answer

Big O describes the worst-case growth rate of an algorithm as input size increases.

Codesignal Practice Test