LeetCode Questions Asked in Amazon 2026 | PapersAdda
Amazon's online assessment and interview rounds pull heavily from a repeating set of LeetCode problems, if you know which topics show up most, you can cut your prep time significantly. This article maps out the exact questions and patterns Amazon recruiters have been using through 2025 into 2026, so fresher candidates apply focused effort, not scattered study.
What Are Amazon LeetCode Rounds and How Do They Work
Amazon's hiring process for SDE-1 freshers and intern roles typically involves two coding stages:
- Online Assessment (OA), 2 LeetCode-style problems on HackerRank, 70–90 minutes. Fully automated, no interviewer.
- Technical Phone / Virtual Interview, 1–2 coding problems on a shared editor, followed by discussion of your approach, edge cases, and complexity.
In both stages, Amazon does not tell you the LeetCode problem number. However, based on verified candidate reports from 2023–2025 drives, the problems map closely to known LeetCode questions. The OA favors Medium difficulty; the interview can go Hard.
Understanding the Amazon coding round format end-to-end before diving into problems will save you from surprises on the actual day.
Topic-Wise Frequency Analysis: Amazon LeetCode Questions (2022–2025)
This table is derived from aggregated candidate reports across Amazon India campus drives, off-campus pools, and referral OAs between 2022 and 2025. Percentages indicate how often a topic appeared in at least one problem of the assessment.
| Topic | 2022 | 2023 | 2024 | 2025 (est.) | Difficulty Skew |
|---|---|---|---|---|---|
| Arrays & Sliding Window | 68% | 71% | 74% | 76% | Medium |
| Trees (BST / Binary Tree) | 62% | 65% | 67% | 70% | Medium–Hard |
| Dynamic Programming | 44% | 48% | 52% | 55% | Medium–Hard |
| Graphs (BFS/DFS) | 38% | 41% | 45% | 48% | Medium |
| Linked Lists | 35% | 33% | 36% | 35% | Easy–Medium |
| Strings & Hashing | 55% | 58% | 60% | 62% | Easy–Medium |
| Two Pointers | 47% | 50% | 53% | 56% | Easy–Medium |
| Heaps / Priority Queue | 28% | 32% | 35% | 38% | Medium–Hard |
| Stack / Monotonic Stack | 30% | 34% | 36% | 39% | Medium |
| Recursion / Backtracking | 22% | 25% | 28% | 30% | Hard |
Based on verified candidate reports. Treat as estimated range, not exact data.
Arrays, Trees, and Strings consistently account for more than 60% of all Amazon coding questions. If you have limited prep time heading into a 2026 drive, these three topics alone cover the majority of scenarios you will face.
The 25 Most Frequently Reported Amazon LeetCode Questions (2023–2025)
These are the specific problems candidates reported seeing, not guaranteed repeats, but high-probability targets for your 2026 prep.
Arrays / Two Pointers
- Two Sum (LC 1)
- Container With Most Water (LC 11)
- 3Sum (LC 15)
- Trapping Rain Water (LC 42)
- Subarray Sum Equals K (LC 560)
- Sliding Window Maximum (LC 239)
Strings / Hashing
- Longest Substring Without Repeating Characters (LC 3)
- Group Anagrams (LC 49)
- Valid Parentheses (LC 20)
- Minimum Window Substring (LC 76)
- Longest Palindromic Substring (LC 5)
Trees
- Lowest Common Ancestor of BST (LC 235)
- Binary Tree Level Order Traversal (LC 102)
- Serialize and Deserialize Binary Tree (LC 297)
- Validate Binary Search Tree (LC 98)
- Diameter of Binary Tree (LC 543)
Dynamic Programming
- Coin Change (LC 322)
- Longest Increasing Subsequence (LC 300)
- Word Break (LC 139)
- Maximum Product Subarray (LC 152)
Graphs
- Number of Islands (LC 200)
- Word Ladder (LC 127)
- Course Schedule (LC 207)
Linked Lists
- LRU Cache (LC 146)
- Merge K Sorted Lists (LC 23)
The Amazon placement papers archive has additional question sets with company-specific context and constraints that differ slightly from base LeetCode.
Amazon OA Coding Pattern for 2026
Amazon's OA structure has remained consistent. For 2026 fresher drives, expect:
| Component | Details |
|---|---|
| Platform | HackerRank |
| Problems | 2 coding + (sometimes) 1 debugging |
| Time Limit | 70–90 minutes total |
| Difficulty | P1: Easy-Medium, P2: Medium-Hard |
| Language Support | Java, Python, C++, JavaScript |
| Proctoring | Screen recording + webcam enabled |
| Partial Scoring | Yes, partial test case credit applies |
One critical point: Amazon OA allows partial credit. A brute-force O(n²) that passes 8/15 test cases is better than no submission. Always write a working brute-force first, then optimize.
For the full picture of what Amazon tests beyond coding, review the Amazon syllabus 2026 which covers the Work Simulation and Leadership Principles sections that run alongside the OA.
Preparation Strategy: How to Cover Amazon LeetCode Questions Efficiently
Week 1–2: Foundation Topics
Complete the NeetCode 150 list filtered for Arrays, Strings, Two Pointers, and Linked Lists. Target 3–4 problems daily. Focus on getting brute-force working, then optimize. Do not skip the complexity analysis, Amazon interviewers always ask for time and space.
Week 3–4: Trees and Dynamic Programming
Binary trees are Amazon's most consistent hard-filter topic. Cover all traversal patterns (inorder, preorder, postorder, level-order), then move to BST operations, LCA, and path problems. For DP, focus on 1D and 2D DP patterns: Coin Change, LIS, and Word Break cover ~70% of Amazon DP variants.
Week 5–6: Graphs, Heaps, and Mock OAs
BFS/DFS for graphs, Dijkstra for weighted variants (rare in OA but appears in interviews), and heap-based problems like Merge K Sorted Lists. Spend the last 3–4 days doing timed mock OAs, 2 problems in 75 minutes, no hints.
Day Before the OA
Revise your own notes on patterns, not new problems. Confirm your IDE setup on HackerRank, input parsing, print statements. Sleep normally. Attempting 5 new Hard problems at midnight is counter-productive.
Candidates preparing for Amazon alongside other product companies should look at the second year placement preparation plan for a phased schedule that covers multiple targets efficiently.
Practice Questions
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Common Mistakes in Amazon LeetCode Rounds
1. Skipping edge cases in tree problems.
Amazon interviewers specifically probe null nodes, single-node trees, and skewed trees. Always add null checks before accessing .left, .right, or .val.
2. Hardcoding input instead of reading from stdin. In HackerRank OAs, your solution must parse standard input. Candidates who write clean logic but forget I/O parsing fail all test cases. Test your input handling first.
3. Using O(n²) when the expected solution is O(n log n). Amazon does not penalize you for submitting brute-force, but if it TLEs on large inputs and you have no optimized approach, you score zero on that problem. Always write the O(n) or O(n log n) solution for array/string problems.
4. Ignoring the "Work Simulation" section. The OA has a behavioral section alongside coding. Candidates who rush through it clicking random answers lose significant points. The Amazon SDE-1 fresher salary is high enough to justify 20 minutes on the Work Simulation, treat it seriously.
5. Not verifying your solution against the given examples manually. Before submitting, trace your code on the provided sample input. At least 30% of OA failures are logic errors that a 2-minute dry-run would have caught.
Related Resources
If you are building a complete Amazon prep plan, these pages cover the adjacent topics:
- Amazon SDE-1 fresher salary breakdown for 2026, base, RSU, joining bonus, in-hand estimate
- Amazon off-campus drive 2026, registration windows, eligibility, portal links
- CGPA required for Amazon 2026, branch-wise cutoffs and exceptions
- How to prepare for Amazon SDE internship 2026, 8-week plan for pre-final year students
- Amazon India placement papers 2026, full previous year sets with solutions
- SQL queries for placement interviews, Amazon sometimes adds a SQL problem to OA
- Java interview questions for freshers, covers collections, multithreading, and OOP questions Amazon asks post-coding
- Data interpretation for placements, quantitative section that appears in Amazon's aptitude pre-screening
FAQs
Q: Does Amazon repeat LeetCode questions in 2026 OAs?
Amazon does rotate problem sets, so the exact same problem number rarely appears twice in the same drive. However, the underlying pattern, sliding window array, binary tree traversal, DP on sequences, repeats consistently. Preparing by pattern is more reliable than memorizing specific problems.
Q: What difficulty level should I target on LeetCode for Amazon's OA?
Focus on Medium. Around 75–80% of Amazon OA problems are Medium difficulty. Easy problems occasionally appear as the first problem to build momentum. Hard problems appear mainly in the final interview rounds, not the OA.
Q: Is it enough to solve 50–75 LeetCode problems for Amazon?
If those 75 problems are the right ones, covering Arrays, Trees, DP, Strings, and Graphs with deliberate pattern coverage, yes, that is sufficient for the OA. Random problem grinding without pattern identification will not be sufficient regardless of count.
Q: Does Amazon use the same OA for off-campus and on-campus candidates?
The platform and format are the same (HackerRank, 2 problems, 70–90 minutes). Problem difficulty may vary slightly between drives, but the topic distribution is consistent across both channels.
Q: Can I use Python for Amazon's OA?
Yes. Python, Java, C++, and JavaScript are all supported. Python is popular for its concise syntax, but be aware that Python solutions can TLE on larger inputs if your algorithm has unnecessary overhead. Use sys.stdin for faster input in Python.
Q: How important is the Work Simulation section relative to coding in Amazon's OA?
Both sections contribute to your OA score. Amazon does not publish the exact weightage, but candidate feedback consistently shows that strong coding combined with poor Work Simulation results in rejections, and vice versa. Treat both sections as high-priority.
Q: What happens if I solve only one of the two OA problems?
Solving one problem completely, all test cases passing, puts you in consideration, especially if your Work Simulation score is solid. Solving zero problems with partial test cases on each is a borderline case that often results in rejection. The OA is primarily a filter, not a ranking mechanism.
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