Top Amazon SDE Interview Questions & Preparation Guide for 2024/2025
Landing a Software Development Engineer (SDE) position at Amazon is a dream for many fresh graduates and aspiring software engineers. Known for its difficult interview process, Amazon ensures that only the best candidates join their company. If you're gearing up for an Amazon SDE interview, you're in the right place! This comprehensive guide will walk you through the common interview questions, essential preparation tips, and strategies to help you ace your Amazon SDE coding interviews in 2024.
Only interested in the list of Leetcode questions? Click here to jump to the questions section.
Table of Contents
- Understanding the Amazon SDE Interview Process
- Interview Stages
- Common Technical Questions
- Setting Up Your LeetCode Preparation Plan
- Preparation Tips
- Acing the Interview
- Conclusion
Understanding the Amazon SDE Interview Process
Before diving into the questions, it's crucial to understand the structure of Amazon's SDE coding interview process. Usually, the journey begins with an online coding assessment, followed by one or two phone screens, and ends with a series of onsite interviews. Each stage is designed to test your technical skills, problem-solving abilities, and cultural fit within Amazon's dynamic environment.
Interview Stages:
- Online Assessment:
- Format: Timed coding problems.
- Focus: Algorithms, data structures, and coding efficiency.
- Tip: Practice on platforms like LeetCode.com to familiarize yourself with the questions and set time constraints to get used to the interview pressure.
- Phone Screens:
- Format: One or two technical interviews via phone or video call.
- Focus: Coding problems, algorithmic thinking, and basic system design.
- Tip: Communicate your thought process clearly and ask clarifying questions if needed.
- Onsite Interviews:
- Format: Usually four to six back-to-back interviews at an Amazon office.
- Focus: Advanced coding, system design, and behavioral questions aligned with Amazon's Leadership Principles.
- Tip: Prepare examples from your past experiences that demonstrate leadership, ownership, and customer obsession (use the STAR method).
Understanding this process helps you set up your preparation effectively, making sure you're ready for each stage's unique challenges.
Common Technical Questions
Amazon places a strong emphasis on technical excellence. Expect a significant portion of your interview to focus on Leetcode-style coding challenges that assess your understanding of algorithms and data structures.
Key Areas to Focus:
- Data Structures: Arrays, linked lists, trees, graphs, hash tables.
- Algorithms: Sorting, searching, dynamic programming, recursion, graph traversal.
- Complexity Analysis: Understanding Big-O notation to evaluate the efficiency of your solutions.
Below you will find the list of Leetcode questions that are most commonly asked during Amazon coding interviews. These questions were sourced from various different places on the internet, including the LeetCode.com forums.
š¢ Easy Problems
Problem Name | Short Problem Description |
---|---|
Two Sum (#1) | Find indices of two numbers in an array that add up to a specific target. |
Roman to Integer (#13) | Convert a Roman numeral string to its integer value. |
Valid Parentheses (#20) | Determine if the input string has valid matching parentheses. |
Same Tree (#100) | Check if two binary trees are identical in structure and node values. |
Symmetric Tree (#101) | Determine if a binary tree is symmetric around its center. |
Best Time to Buy and Sell Stock (#121) | Find the maximum profit from buying and selling a stock once. |
Diameter of Binary Tree (#543) | Find the diameter (longest path) of a binary tree. |
š” Medium Problems
Problem Name | Short Problem Description |
---|---|
Longest Palindromic Substring (#5) | Find the longest substring in a given string that is a palindrome. |
String to Integer (atoi) (#8) | Convert a string to a 32-bit signed integer following specific parsing rules. |
Integer to Roman (#12) | Convert an integer to its corresponding Roman numeral representation. |
Valid Sudoku (#36) | Check if a 9x9 Sudoku board is valid according to Sudoku rules. |
Combination Sum (#39) | Find all unique combinations in an array that sum up to a target value. |
Permutations (#46) | Generate all possible permutations of a list of numbers. |
Merge Intervals (#56) | Merge all overlapping intervals in a list of intervals. |
Rotate List (#61) | Rotate a linked list to the right by k places. |
Minimum Path Sum (#64) | Find the minimum sum path from top-left to bottom-right in a grid. |
Word Search (#79) | Determine if a given word exists in a grid of letters by traversing adjacent cells. |
Validate Binary Search Tree (#98) | Verify if a binary tree is a valid binary search tree (BST). |
Binary Tree Level Order Traversal (#102) | Return the level order traversal of a binary tree's nodes' values. |
Convert Sorted List to Binary Search Tree (#109) | Convert a sorted singly linked list to a height-balanced BST. |
Populating Next Right Pointers in Each Node (#116) | Populate each next pointer to point to its next right node in a perfect binary tree. |
LRU Cache (#146) | Design and implement a Least Recently Used (LRU) cache. |
Min Stack (#155) | Design a stack that supports push, pop, top, and retrieving the minimum element in constant time. |
Number of Islands (#200) | Count the number of islands in a 2D grid representing land and water. |
Course Schedule (#207) | Determine if all courses can be finished given their prerequisites. |
Course Schedule II (#210) | Return the order in which courses should be taken to finish all courses. |
Add and Search Word - Data structure design (#211) | Design a data structure to add words and search for them with support for wildcard characters. |
Game of Life (#289) | Simulate the Game of Life rules on a given board. |
Longest Increasing Subsequence (#300) | Find the length of the longest increasing subsequence in an array. |
Design Tic-Tac-Toe (#348) | Design a Tic-Tac-Toe game that allows two players to play and determine the winner. |
Pacific Atlantic Water Flow (#417) | Find all coordinates where water can flow to both the Pacific and Atlantic oceans. |
Minesweeper (#529) | Implement the Minesweeper game logic to reveal cells based on clicks. |
Reorganize String (#767) | Rearrange the characters in a string so that no two adjacent characters are the same. |
š“ Hard Problems
Problem Name | Short Problem Description |
---|---|
Median of Two Sorted Arrays (#4) | Find the median of two sorted arrays combined into one sorted array. |
Merge K Sorted Lists (#23) | Merge k sorted linked lists into one sorted linked list. |
Word Ladder (#127) | Find the length of the shortest transformation sequence from a start word to an end word. |
Word Ladder II (#126) | Find all shortest transformation sequences from a start word to an end word. |
Word Search II (#212) | Find all words from a dictionary that exist in a 2D grid of letters. |
Integer to English Words (#273) | Convert a non-negative integer to its English words representation. |
Find Median from Data Stream (#295) | Continuously find the median of a stream of numbers. |
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Setting Up Your LeetCode Preparation Plan
A well-structured preparation plan ensures that you cover all necessary topics. Hereās how to create an effective Leetcode study schedule for Amazon SDE interviews:
1. Assess Your Current Skill Level
Before starting your practice, evaluate your current understanding of key DSA concepts. Identify your strengths and weaknesses by attempting a few problems from various categories on LeetCode.com. This self-assessment will help you shape your study plan effectively.
2. Prioritize Topics Based on Amazonās Interview Focus
Amazon typically emphasizes the following topics in their SDE interviews:
- Arrays and Strings: Fundamental for most coding problems.
- Linked Lists: Essential for questions involving data manipulation.
- Stacks and Queues: Useful for solving problems that require specific order processing.
- Trees and Graphs: Critical for hierarchical and network-based questions.
- Dynamic Programming: Important for optimization problems.
- Sorting and Searching Algorithms: Basis for efficient data handling.
- Hash Tables: Key for quick data retrieval and storage.
Focus your efforts on these areas and the problems listed in the table above, ensuring a balanced approach that covers all areas.
3. Create a Weekly Study Schedule
Consistency is key to mastering Leetcode problems. Set specific time slots each day dedicated to solving problems. For example:
- Monday to Friday:
- Morning: Solve 2-3 medium-level problems.
- Evening: Review solutions, understand different approaches, and revisit any challenging problems.
- Saturday:
- Morning: Attempt 1-2 hard-level problems.
- Afternoon: Participate in LeetCode contests to simulate interview pressure.
- Sunday:
- Rest or Light Review: Go over previously solved problems or read discussion threads for new insights.
Adjust the schedule based on your personal commitments, ensuring you maintain a steady pace without burnout.
Preparation Tips
- Practice Regularly: Consistent practice on coding platforms like LeetCode.com helps you become familiar with question patterns. Check out our other article which lists other commonly asked coding interview questions.
- Understand the Concepts: Rather than memorizing solutions, focus on understanding the underlying concepts to tackle variations of questions.
- Optimize Your Solutions: Strive for solutions with optimal time and space complexity.
Acing the Interview
Effective problem-solving goes beyond just writing code. It involves understanding the problem, devising an optimal solution, and implementing it efficiently. Hereās how to use these skills during a Leetcode coding interview:
1. Deep Dive into Problem Analysis
Before attempting to solve a problem, spend time understanding the requirements thoroughly. Break down the problem statement, identify input and output formats, and clarify any constraints. This step prevents unnecessary errors and ensures youāre on the right track from the beginning.
2. Apply a Structured Approach
Adopt a systematic approach to problem-solving:
- Understand the Problem:
- Read the problem statement multiple times.
- Identify key requirements and constraints.
- Plan Your Solution:
- Think of brute-force solutions first.
- Optimize by considering more efficient algorithms and data structures.
- Implement the Solution:
- Write clean and readable code.
- Use meaningful variable names and comments for clarity.
- Test Your Code:
- Run test cases, including edge cases, to ensure your solution handles all scenarios.
- Debug any issues that arise during testing.
- Optimize and Refine:
- Analyze the time and space complexity.
- Refactor your code for better performance and readability if necessary.
3. Explore Multiple Solutions
Leetcode-style coding problems often allows multiple ways to solve a single problem. After solving a problem, review other usersā solutions to gain different perspectives. This practice broadens your understanding and exposes you to various optimization techniques and different coding styles.
Conclusion
Preparing for Amazonās SDE interviews is undoubtedly very demanding, but with the right strategies and resources, itās entirely achievable. Practicing your Leetcode skills serves as a cornerstone of this preparation, understand complex algorithms, and simulate real interview conditions. By setting a structured study plan, mastering problem-solving techniques, and maintaining consistency, you can significantly enhance your chances of doing well in the Amazon SDE interviews.
Remember, the journey to becoming an Amazon SDE is a marathon, not a sprint. Stay committed, embrace the challenges, and continuously seek improvement. With With dedication and the right preparation, you'll be well-equipped to secure your dream position at one of the worldās leading tech giants. Best of luck on your journey to Amazon!
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