DSA Interview Questions — Complete Topic-wise Preparation Guide
Preparing for coding interviews? This Data Structures and Algorithms (DSA) Interview Questions PDF is your one-stop reference to master all core concepts. From arrays and linked lists to graphs and dynamic programming, this collection helps you solve real interview problems with confidence.
📘 What’s Inside
The material includes structured questions based on frequently asked coding patterns from top companies. Each topic is organized for easy revision and practical coding practice.
🔹 Arrays & Matrices
- Pair with a given sum, stock buy/sell, and subarray challenges
- Matrix traversal, transpose, and spiral problems
🔹 Strings
- Longest substring, palindrome checks, and anagram detection
- Pattern matching and string manipulation problems
🔹 Linked List, Stack & Queue
- Reverse linked lists, detect cycles, and merge sorted lists
- Stack infix-postfix conversion, next greater element, and queue-based problems
🔹 Trees & Graphs
- Binary Tree traversal, Lowest Common Ancestor, and Trie implementation
- Graph traversal (DFS/BFS), cycle detection, islands, and topological sorting
🔹 Dynamic Programming
- 0/1 Knapsack, Coin Change, Longest Increasing Subsequence
- Matrix Chain Multiplication, Egg Dropping Puzzle, and Subset Sum problems
🔹 Bit Manipulation
- Counting bits, XOR problems, and binary number operations
Each section in the PDF provides a step-by-step list of classic problems with an emphasis on logic, efficiency, and pattern recognition — exactly what interviewers look for.
🚀 Why You Should Use This Material
- ✅ Covers all key DSA topics for interviews and placements.
- ✅ Ideal for FAANG, startups, and campus recruitment preparation.
- ✅ Organized by topic for daily practice and revision.
- ✅ Clean, AdSense-safe content with zero plagiarism.
💡 Pro Tip
Practice at least 3–5 problems daily from this sheet. Focus on understanding the logic, optimizing time complexity, and writing clean code. This consistency can significantly boost your problem-solving confidence during interviews.
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