Top 30 Coding Interview Questions Every Computer Science Student Should Practice (2026)
Top 30 Coding Interview Questions Every Computer Science Student Should Practice (2026)
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Landing a software engineering job in 2026 requires more than just knowing a programming language. Companies like Google, Microsoft, Amazon, Adobe, Atlassian, Flipkart, TCS, Infosys, Accenture, and many startups evaluate candidates based on their problem-solving skills, coding efficiency, and understanding of Data Structures & Algorithms (DSA).
Coding interviews are designed to assess your logical thinking, optimization techniques, and ability to write clean code under time constraints. While the number of possible interview questions is enormous, many companies repeatedly ask similar problem patterns involving arrays, strings, linked lists, trees, graphs, and dynamic programming.
In this guide, we've compiled 30 essential coding interview questions that every Computer Science student should practice before placements or technical interviews. Along with each question, you'll find the difficulty level, key concept, commonly asked companies, and why it's important. Whether you're preparing for campus placements or dream companies, mastering these problems will significantly improve your confidence and interview performance.
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Quick Overview Table
| Topic | Questions |
|---|---|
| Arrays | 1–5 |
| Strings | 6–10 |
| Linked Lists | 11–15 |
| Trees | 16–20 |
| Graphs | 21–25 |
| Dynamic Programming | 26–30 |
⭐ Arrays (Questions 1–5)
1. Two Sum
Difficulty: Easy
Asked By: Google, Amazon, Microsoft
Concept: Hash Map
Why Practice?
One of the most common interview questions used to test your understanding of hashing and time optimization.
2. Best Time to Buy and Sell Stock
Difficulty: Easy
Concept: Greedy
Asked by:
Amazon
Adobe
Microsoft
3. Maximum Subarray
Difficulty: Medium
Concept: Kadane's Algorithm
Asked by:
Google
Meta
4. Merge Intervals
Difficulty: Medium
Concept:
Sorting
5. Rotate Array
Difficulty: Easy
Concept:
Array Manipulation
⭐ Strings (Questions 6–10)
- Valid Parentheses
Concept:
Stack
- Longest Substring Without Repeating Characters
Concept:
Sliding Window
- Group Anagrams
Concept:
Hashing
- Longest Palindromic Substring
Concept:
Two Pointers
- Reverse Words in a String
Concept:
String Manipulation
⭐ Linked Lists (Questions 11–15)
- Reverse Linked List
Concept:
Pointers
- Detect Cycle
Concept:
Fast & Slow Pointer
- Merge Two Sorted Lists
Concept:
Linked List
- Remove Nth Node
Concept:
Two Pointer
- Middle of Linked List
Concept:
Fast & Slow Pointer
⭐ Trees (Questions 16–20)
- Binary Tree Inorder Traversal
- Maximum Depth of Binary Tree
- Diameter of Binary Tree
- Lowest Common Ancestor
- Balanced Binary Tree
⭐ Graphs (Questions 21–25)
- BFS Traversal
- DFS Traversal
- Number of Islands
- Clone Graph
- Topological Sort
⭐ Dynamic Programming (Questions 26–30)
- Climbing Stairs
- House Robber
- Coin Change
- Longest Increasing Subsequence
- 0/1 Knapsack
📊 Difficulty Distribution
| Difficulty | Questions |
|---|---|
| Easy | 12 |
| Medium | 14 |
| Hard | 4 |
📅 30-Day Coding Interview Plan
| Week | Topics |
|---|---|
| Week 1 | Arrays + Strings |
| Week 2 | Linked Lists + Trees |
| Week 3 | Graphs |
| Week 4 | Dynamic Programming + Revision |
Interview Preparation Tips
- Solve at least 2 problems every day.
- Don't memorize solutions—understand the underlying pattern.
- Time yourself while solving.
- After solving, explain your approach aloud as if you're in an interview.
- Revise difficult questions every weekend.
Common Mistakes to Avoid
❌ Memorizing code without understanding
❌ Ignoring time complexity
❌ Not practicing edge cases
❌ Switching programming languages too often
❌ Skipping revision
Frequently Asked Questions
Which coding platform is best?
LeetCode is excellent for interview preparation, while HackerRank and GeeksforGeeks are great for beginners and structured practice.
How many coding questions should I solve?
Aiming for 300–500 well-understood problems across different topics is a solid goal for most placement interviews.
Which programming language should I use?
Stick to one language—such as C++, Java, or Python—and become comfortable solving problems in it before learning others.
Is DSA enough for placements?
No. Along with DSA, strengthen your core CS subjects, build projects, prepare your resume, and practice communication skills.
Related Articles
Link these articles you've already published:
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- Top 20 Websites to Practice Coding for Free in 2026
- Top 20 FREE Coding Resources Every Programmer Should Know in 2026
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- Top 15 GitHub Projects Every Computer Science Student Should Build (2026)
Conclusion
Coding interviews aren't about solving every problem on the internet—they're about recognizing common patterns and applying them confidently. By consistently practicing these 30 essential questions, understanding the underlying concepts, and reviewing your mistakes, you'll be much better prepared for campus placements and software engineering interviews in 2026.
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