Job Interview Problem-Solving Quiz

During an interview, you are given a problem to solve that involves finding the maximum profit from a list of stock prices. What is the first step you should take to solve this problem?

• Start coding immediately.

• Understand the problem and constraints.

• Ask for help from the interviewer.

• Look for similar problems online.

You are asked to solve a problem where you need to find the shortest path in a maze. Which algorithm is most suitable for this task?

• Depth-First Search (DFS)

• Breadth-First Search (BFS)

• Binary Search

• Quick Sort

In an interview, you are given a problem to optimize a piece of code. What is the best approach to start with?

• Rewrite the entire code from scratch.

• Identify the bottlenecks in the existing code.

• Add more comments to the code.

• Increase the hardware resources.

You are given a problem to solve during an interview that involves sorting a large dataset. Which sorting algorithm would you choose for the best average-case performance?

• Bubble Sort

• Insertion Sort

• Merge Sort

• Selection Sort

During an interview, you are asked to solve a problem involving the calculation of the factorial of a number. Which approach is more efficient for large numbers?

• Iterative approach

• Recursive approach

• Using a precomputed table

• Using a calculator

• Sort the array and find the missing number.

• Use a hash table to track the numbers.

• Use a binary search.

In an interview, you are asked to solve a problem that involves checking if a string is a palindrome. What is the best approach to solve this problem?

• Reverse the string and compare it with the original string.

• Use a stack to store characters and then compare.

• Use a queue to store characters and then compare.

• Convert the string to a list and sort it.

You are given a problem to solve that involves finding the greatest common divisor (GCD) of two numbers. Which algorithm is most efficient for this task?

• Euclidean algorithm

• Sieve of Eratosthenes

• Binary search

• Dynamic programming

During an interview, you are asked to solve a problem that involves finding the longest common subsequence (LCS) of two strings. Which approach is most suitable for this task?

• Brute force

• Dynamic programming

• Greedy algorithm

• Divide and conquer

You are given a problem to solve that involves finding the median of a list of numbers. What is the most efficient way to solve this problem if the list is unsorted?

• Sort the list and find the middle element.

• Use a max-heap and min-heap.

• Use a hash table.

• Use a binary search tree.