Top 50 DSA Interview Questions for 2026
Data structures and algorithms form the backbone of every technical interview at top tech companies. Whether you are preparing for Google, Amazon, Meta, Microsoft, or any other FAANG company, mastering these 50 questions will put you ahead of 90% of candidates. This curated list covers arrays, linked lists, trees, graphs, dynamic programming, and more — organized by topic with difficulty levels and company frequency tags.
Why DSA Matters in Technical Interviews
Data structures and algorithms (DSA) are the most heavily tested topics in software engineering interviews. Companies like Google, Amazon, and Meta use DSA problems to assess your problem-solving ability, code quality, and understanding of time and space complexity. Unlike system design or behavioral rounds, DSA rounds are pass-or-fail: you either solve the problem or you do not.
The good news is that DSA interviews follow predictable patterns. Over 80% of interview questions are variations of well-known problems. If you master the core patterns — two pointers, sliding window, BFS/DFS, dynamic programming, and binary search — you can solve most interview questions in under 30 minutes.
This list is organized by data structure and algorithm pattern. For each question, we provide the difficulty level, the companies that most frequently ask it, and a direct link to our free learning material. We recommend working through each section in order: start with arrays and strings, then move to linked lists, trees, graphs, and finally dynamic programming.
Jump to Topic
Arrays Questions
Two Sum
Best Time to Buy and Sell Stock
Contains Duplicate
Product of Array Except Self
Maximum Subarray (Kadane's Algorithm)
Container With Most Water
3Sum
Merge Intervals
Linked Lists Questions
Reverse Linked List
Merge Two Sorted Lists
Linked List Cycle Detection
Remove Nth Node From End of List
Stacks & Queues Questions
Valid Parentheses
Min Stack
Implement Queue Using Stacks
Trees Questions
Maximum Depth of Binary Tree
Validate Binary Search Tree
Level Order Traversal
Lowest Common Ancestor of BST
Serialize and Deserialize Binary Tree
Invert Binary Tree
Diameter of Binary Tree
Graphs Questions
Number of Islands
Clone Graph
Course Schedule (Topological Sort)
Word Ladder
Pacific Atlantic Water Flow
Dynamic Programming Questions
Climbing Stairs
Longest Increasing Subsequence
Coin Change
House Robber
0/1 Knapsack
Longest Common Subsequence
Edit Distance
Word Break
Heaps Questions
Kth Largest Element in an Array
Top K Frequent Elements
Merge K Sorted Lists
Find Median from Data Stream
Binary Search Questions
Binary Search
Search in Rotated Sorted Array
Find Minimum in Rotated Sorted Array
Tries Questions
Implement Trie (Prefix Tree)
Word Search II
Backtracking Questions
Permutations
Subsets
N-Queens
Sliding Window Questions
Longest Substring Without Repeating Characters
Minimum Window Substring
Sorting & Greedy Questions
Meeting Rooms II
How to Prepare for DSA Interviews
Step 1: Learn the Fundamentals
Before diving into problem-solving, make sure you have a solid understanding of core data structures: arrays, linked lists, stacks, queues, hash maps, trees, graphs, heaps, and tries. For each data structure, understand the time complexity of basic operations (insert, delete, search, traverse). Our free lessons on Guru Sishya cover each data structure with visual explanations, code examples in Java and Python, and practice quizzes.
Step 2: Master Algorithm Patterns
Most DSA interview questions can be mapped to one of 15 common patterns: two pointers, sliding window, fast and slow pointers, merge intervals, cyclic sort, in-place reversal of linked list, BFS, DFS, two heaps, subsets, modified binary search, bitwise XOR, top K elements, K-way merge, and topological sort. Learning to recognize these patterns is more valuable than memorizing individual solutions.
Step 3: Practice with a System
Random practice is inefficient. Follow the structure in this list: start with Easy problems in each category, then move to Medium, and finally Hard. Aim to solve 2-3 problems per day. For each problem, spend 20 minutes attempting it before looking at hints. After solving, write out the time and space complexity and explain your approach out loud (the Feynman technique). Guru Sishya includes a built-in Feynman practice mode for every topic.
Step 4: Simulate Real Interviews
Once you are comfortable solving Medium problems in 20-25 minutes, start timed practice. Use Guru Sishya's interview mode which simulates real interview conditions with a timer, progressive difficulty (Easy, Medium, Hard), and immediate feedback on your solutions. Focus on thinking out loud, asking clarifying questions, and discussing trade-offs — these soft skills matter as much as getting the right answer.
Step 5: Review and Iterate
Track which problems and patterns give you trouble. Guru Sishya's spaced repetition system automatically creates flashcards for problems you get wrong and schedules reviews at optimal intervals. Focus 70% of your time on weak areas and 30% on maintaining strong areas. Most successful candidates report that 4-6 weeks of focused preparation (2-3 hours per day) is sufficient to pass DSA rounds at top companies.
Difficulty Breakdown
Related Learning Topics
Arrays & Strings
Linked Lists
Stacks & Queues
Trees & BST
Graphs
Hash Tables
Heaps & Priority Queues
Sorting & Searching
Dynamic Programming
Recursion & Backtracking
DSA Coding Patterns
Ready to Ace Your DSA Interview?
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