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Explore our carefully curated catalog of interview essentials covering full-stack, data structures and alogithms, system design, data science, and machine learning interview questions

Data Structures

100 Data Structures interview questions

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Arrays and Strings


  • 1.

    Explain how you would reverse an array in place.

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  • 2.

    What is the difference between an array and a linked list?

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  • 3.

    How would you check for duplicates in an array without using extra space?

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  • 4.

    Can you explain how to perform a binary search on a sorted array?

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  • 5.

    How would you rotate a two-dimensional array by 90 degrees?

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  • 6.

    Describe an algorithm to compress a string such as “aabbccc” to “a2b2c3”.

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  • 7.

    What is an array slice and how is it implemented in programming languages?

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  • 8.

    Can you discuss the time complexity of array insertion and deletion?

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  • 9.

    What are some ways to merge two sorted arrays into one sorted array?

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  • 10.

    How do you find the kth largest element in an unsorted array?

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Linked Lists


  • 11.

    Explain how a singly linked list differs from a doubly linked list.

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  • 12.

    How would you detect a cycle in a linked list?

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  • 13.

    What are the major operations you can perform on a linked list, and their time complexities?

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  • 14.

    Can you describe an in-place algorithm to reverse a linked list?

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  • 15.

    Explain how you would find the middle element of a linked list in one pass.

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  • 16.

    What are the advantages and disadvantages of using a linked list over an array?

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  • 17.

    How can you implement a queue using linked lists?

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  • 18.

    Discuss how a linked list can be used to implement a stack.

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  • 19.

    How would you remove a given node from a linked list without head pointer?

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  • 20.

    Can you explain the concept of a sentinel node in a linked list?

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Stacks and Queues


  • 21.

    What operations are performed by a stack data structure?

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  • 22.

    How would you evaluate an arithmetic expression using stacks?

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  • 23.

    Can you create a queue using two stacks? If so, describe how.

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  • 24.

    Describe how you would implement a stack using queues.

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  • 25.

    How would you distinguish a stack overflow from an underflow?

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  • 26.

    What is a priority queue and how can it be implemented?

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  • 27.

    Explain the difference between a LIFO and a FIFO data structure.

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  • 28.

    Can you describe a scenario in which a circular queue would be useful?

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  • 29.

    How would you design a stack that supports a special operation that retrieves the minimum element in constant time?

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  • 30.

    Discuss the potential problems you might encounter when using dynamic arrays for stacks.

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Trees


  • 31.

    Describe a binary tree and its properties.

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  • 32.

    How do you perform an in-order tree traversal recursively?

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  • 33.

    Can you write an algorithm for a non-recursive post-order traversal?

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  • 34.

    What are the advantages of a balanced binary tree over an unbalanced one?

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  • 35.

    Explain what a binary search tree (BST) is and how it’s different from other trees.

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  • 36.

    How would you check if a binary tree is a BST?

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  • 37.

    Discuss the method for finding the lowest common ancestor (LCA) in a BST.

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  • 38.

    What are the use cases for a depth-first search versus a breadth-first search in a tree structure?

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  • 39.

    Describe how you would convert a binary tree into a doubly linked list.

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  • 40.

    How can you serialize and deserialize a binary tree?

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Hash Tables


  • 41.

    What is a hash table and how does it work internally?

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  • 42.

    Can you explain collision resolution in hash tables?

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  • 43.

    What is a hash function and what makes a good hash function?

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  • 44.

    How would you design a data structure for an LRU cache?

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  • 45.

    Discuss the trade-offs between using an array versus a hash table.

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  • 46.

    What are some common uses for a hash set data structure?

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  • 47.

    How can you count the frequency of words in a long piece of text efficiently?

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  • 48.

    What are the implications of a high load factor in a hash table?

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  • 49.

    Explain how rehashing works and when it should be performed.

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  • 50.

    Discuss the performance differences between hash tables and balanced trees.

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Graphs


  • 51.

    Define a graph and its representation in a computer’s memory.

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  • 52.

    Explain how you would implement both depth-first search (DFS) and breadth-first search (BFS) on a graph.

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  • 53.

    What is the shortest path problem in a graph, and how is it commonly solved?

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  • 54.

    Discuss Dijkstra’s algorithm for finding the shortest path.

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  • 55.

    Explain what a directed acyclic graph (DAG) is and give an example of where it might be used.

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  • 56.

    How would you detect a cycle in a directed graph?

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  • 57.

    Discuss the differences between a graph and a tree.

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  • 58.

    What is topological sorting and where is it used?

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  • 59.

    Can you explain Bellman-Ford’s algorithm and its time complexity?

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  • 60.

    How do you determine if a graph is bipartite?

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Sorting and Searching


  • 61.

    Describe the quicksort algorithm and its average case time complexity.

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  • 62.

    Explain the difference between a depth-first search and a breadth-first search in a binary tree.

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  • 63.

    How would you use a binary search on a rotated sorted array?

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  • 64.

    What is the difference between merge sort and heap sort?

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  • 65.

    Can you describe bucket sort and give an example of its use case?

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  • 66.

    Discuss the advantages of quicksort over other sorting algorithms.

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  • 67.

    How does the insertion sort work and what is its time complexity?

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  • 68.

    What is a stable sort and why might it be important in certain scenarios?

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  • 69.

    Can you explain the counting sort algorithm?

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  • 70.

    How would you sort a linked list?

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Advanced Data Structures


  • 71.

    Describe a red-black tree and its properties.

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  • 72.

    Explain what a B-tree is and where it might be used.

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  • 73.

    Discuss the concept of a segment tree and one of its practical applications.

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  • 74.

    What is a suffix tree and how is it used in substring search?

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  • 75.

    Can you explain what a trie is and when you might use one?

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  • 76.

    Discuss the use of a bloom filter and its advantages over a traditional hash table.

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  • 77.

    Explain the concept of a disjoint-set and its use in network connectivity.

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  • 78.

    What is a Fenwick tree (or binary indexed tree) and when might it be used?

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  • 79.

    Discuss the differences between AVL trees and red-black trees.

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  • 80.

    How would you implement a rope data structure and what is its use case?

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Design Questions


  • 81.

    How would you design a system that requires efficient frequent updates and retrieval of data?

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  • 82.

    Discuss how you might implement autocomplete functionality.

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  • 83.

    Can you design a data structure that supports insert, delete, get random element operations in constant time?

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  • 84.

    Explain how to design a parking lot using object-oriented principles.

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  • 85.

    Describe a data structure that could efficiently store a sparse matrix.

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  • 86.

    How would you implement a file system directory structure in terms of data structures?

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  • 87.

    Discuss the implementation of a phone book which needs to be efficient for look-up, insert, delete, and modification operations.

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  • 88.

    Explain the necessary data structures for a text editor which supports insertion, deletion, and character retrieval operations efficiently.

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  • 89.

    How would you store a large dataset that allows for efficient range queries and updates?

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  • 90.

    Suggest the appropriate data structure for developing a shared document editor that multiple users can edit simultaneously.

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Real-world Applications and Miscellaneous


  • 91.

    What data structure would you use for a web browser’s back and forward button implementation?

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  • 92.

    Can you create a data structure that dynamically adjusts to user load such that it expands and contracts based on activity?

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  • 93.

    Discuss how a data structure can influence database indexing.

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  • 94.

    Explain the choice of data structure for implementing a search engine index.

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  • 95.

    How would you store and retrieve high-frequency data with minimal latency?

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  • 96.

    Discuss the data structures you would use to implement a social network feed.

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  • 97.

    How can a leaderboard system in a gaming platform be implemented with regard to data structures?

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  • 98.

    Discuss how GPS systems use data structures to find the shortest path effectively.

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  • 99.

    What data structures are involved in the implementation of ride-sharing applications like Uber or Lyft?

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  • 100.

    How would a recommendation system benefit from specific data structures to personalize content for users?

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