Top 10 amazon coding interview questions types.

Here is a list of common types of coding problems that are often asked in Amazon interviews. These problems are representative of the kinds of challenges that test your problem-solving and coding skills:

  1. Array and String Manipulation:

    • Find the longest substring without repeating characters.
    • Merge two sorted arrays.
  2. Linked Lists:

    • Reverse a linked list.
    • Detect a cycle in a linked list.
  3. Trees and Graphs:

    • Check if a binary tree is a binary search tree.
    • Implement a graph traversal algorithm (like BFS or DFS).
  4. Dynamic Programming:

    • Find the longest increasing subsequence.
    • Compute the number of ways to decode a message encoded as a number string (similar to the "Decode Ways" problem).
  5. Sorting and Searching:

    • Implement a quicksort or mergesort algorithm.
    • Find the kth largest element in an array.
  6. Number Theory and Bit Manipulation:

    • Determine if a number is a power of two.
    • Count the number of set bits in an integer.
  7. Design Questions:

    • Design a least recently used (LRU) cache.
    • Implement a data structure for a least frequently used (LFU) cache.
  8. Recursion:

    • Generate all permutations of a given string.
    • Solve the N-Queens puzzle.
  9. System Design Fundamentals:

    • Design a URL shortening service (like bit.ly).
    • Outline the architecture for a scalable messaging app.
  10. Behavioral Questions (rooted in Amazon's Leadership Principles):

  • Describe a time when you disagreed with a decision and how you handled it.
  • Give an example of when you took a calculated risk.

Remember, while practicing these types of problems, it's not just about getting to the correct answer; it's also about explaining your thought process, considering edge cases, analyzing the time and space complexity of your solutions, and writing clean, maintainable code.

Ref: Coding Interview Roadmap, System Design Interview Roadmap

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Amazon
Data Structures and Algorithms
Dynamic Programming Patterns
Coding Interview Questions
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