Here are 40 most asked DSA questions to ace your next interview - 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 (𝗗𝗣): 1. How do you find the nth Fibonacci number using dynamic programming? 2. Write a dynamic programming solution for the 0/1 knapsack problem. 3. Memoization to optimize recursive solutions in dynamic programming? 4. Implement a dynamic programming algorithm to find the longest common subsequence of two strings. 5. The coin change problem. 6. Tabulation approach in dynamic programming. 𝗕𝗮𝗰𝗸𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴: 7. Backtracking algorithm to solve the N-Queens problem. 8. Generate all permutations of a given set using backtracking? 9. Implement backtracking to solve the Sudoku puzzle. 10. Subset sum problem. 11. Graph coloring problem using backtracking. 12. Write a backtracking algorithm to find the Hamiltonian cycle in a graph. 𝗛𝗮𝘀𝗵𝗶𝗻𝗴: 13. Implement a hash table using separate chaining. 14. First non-repeating character in a string using hashing. 15. Collision resolution techniques in hashing. 16. Write a function to solve the two-sum problem using hashing. 17. How can you implement a hash set data structure? 18. Count the frequency of elements in an array using hashing. 𝗛𝗲𝗮𝗽: 19. Implement a priority queue using a min-heap. 20. How do you merge K sorted arrays using a min-heap? 21. Write a function to perform heap sort algorithm. 22. Find the kth largest element in an array using a min-heap. 23. Implement a priority queue using a min-heap. 24. How do you build a max heap from an array? 𝗧𝗿𝗶𝗲𝘀: 25. Implement a trie data structure. 26. Write a function to search for a word in a trie. 27. How can you implement autocomplete feature using a trie? 28. Deleting a word from a trie. 30. Write a function to find all words matching a pattern in a trie. 𝗚𝗿𝗲𝗲𝗱𝘆 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀: 31. Solve the activity selection problem using a greedy algorithm. 32. Implement Huffman coding using a greedy algorithm. 33. Write a function to find the minimum spanning tree using Prim's algorithm. 34. Coin change problem. 35. Dijkstra's algorithm using a greedy approach. 36. Implement the job sequencing problem using a greedy algorithm. 37. Stack Vs queue. 38. breadth-first search (BFS) and depth-first search (DFS) traversal 39. Concept of big O notation. 40. What is an AVL tree? Explain its properties and how it maintains balance during insertion and deletion operations. *React ❤️ for more*