DSA Competitive Programming - Practice Questions 2026

Master DSA Competitive Programming: Ultimate Practice Exams

Welcome to the definitive practice resource designed to help you master Data Structures and Algorithms (DSA) for Competitive Programming. Whether you are preparing for top-tier coding contests or technical interviews at FAANG companies, these practice exams provide the rigorous environment you need to sharpen your problem-solving skills and improve your time complexity analysis.

Why Serious Learners Choose These Practice Exams

Competitive programming is not just about knowing the syntax; it is about recognizing patterns and applying the most efficient algorithm under pressure. Serious learners choose this course because it mimics the environment of platforms like Codeforces, LeetCode, and CodeChef.

• Retakeability: You can retake the exams as many times as you want to ensure total mastery.

• Original Question Bank: This is a huge, original question bank curated by industry experts.

• Expert Support: You get direct support from instructors if you have questions regarding specific logic or edge cases.

• Detailed Explanations: Every single question includes a comprehensive breakdown of the logic used.

• On-the-go Learning: Fully mobile-compatible via the Udemy app.

• Risk-Free: We offer a 30-day money-back guarantee if you are not satisfied with the content.

Course Structure

This course is meticulously organized to take you from foundational logic to high-level algorithmic mastery.

• Basics / Foundations: Focuses on the building blocks of programming including Time and Space Complexity (Big O notation), recursion fundamentals, and basic array manipulations.

• Core Concepts: Covers essential data structures like Linked Lists, Stacks, Queues, and Binary Trees. You will learn how to implement and traverse these structures efficiently.

• Intermediate Concepts: Dives into sorting and searching algorithms, Heaps (Priority Queues), and Hashing techniques. This section bridges the gap between simple data storage and optimized retrieval.

• Advanced Concepts: Explores complex topics such as Dynamic Programming (DP), Graph Theory (Dijkstra’s, MST, Flow), Segment Trees, and Fenwick Trees.

• Real-world Scenarios: Challenges you with problems that simulate actual software engineering hurdles, requiring you to combine multiple data structures for an optimal solution.

• Mixed Revision / Final Test: A comprehensive evaluation featuring a random mix of all topics to test your ability to identify the correct approach without topical hints.

  
  

We hope that by now you're convinced! There are hundreds of additional questions inside the course designed to push your limits.