Data Structures And Algorithm Interview Questions
Questions covering arrays, linked lists, trees, graphs, sorting, searching, and algorithmic problem-solving techniques
8 interview questions in this category to help you prepare for your next interview.
Explain different types of tree traversals and their applications.
Understanding inorder, preorder, postorder, and level-order traversals with their specific use cases.
What are the differences between Stack and Queue? Implement both data structures.
Understanding LIFO vs FIFO data structures with implementations and use cases for stacks and queues.
Implement a binary search tree with insert, delete, and search operations.
Complete BST implementation with all major operations including insertion, deletion, searching, and traversals.
Explain dynamic programming with examples. What are the key characteristics?
Understanding dynamic programming principles, memoization vs tabulation, with classic examples like Fibonacci and coin change.
How do you implement a hash table with collision resolution?
Implementation of hash tables with different collision resolution techniques like chaining and open addressing.
Explain the difference between DFS and BFS. When would you use each?
Understanding Depth-First Search vs Breadth-First Search algorithms, their implementations, and use cases.
How would you detect a cycle in a linked list? Implement Floyd's Cycle Detection Algorithm.
Detecting cycles in linked lists using Floyd's tortoise and hare algorithm with implementation details.
Explain the time complexity of common sorting algorithms and when to use each one.
Understanding time complexity of sorting algorithms like quicksort, mergesort, heapsort, and their optimal use cases.