Dream11 Interview Questions (13)
Practice real interview problems from Dream11
| Status | Title | Solution | Practice | Difficulty | Companies | Topics |
|---|---|---|---|---|---|---|
| 3. Longest Substring Without Repeating Characters | Solution | Solve | Medium | Accenture+104 | ||
| 11. Container With Most Water | Solution | Solve | Medium | Accenture+57 | ||
| 15. 3Sum | Solution | Solve | Medium | Accenture+56 | ||
| 16. 3Sum Closest | Solution | Solve | Medium | Amazon+10 | ||
| 134. Gas Station | Solution | Solve | Medium | Accolite+28 | ||
| 416. Partition Equal Subset Sum | Solution | Solve | Medium | Amazon+15 | ||
| 735. Asteroid Collision | Solution | Solve | Medium | Accolite+31 | ||
| 931. Minimum Falling Path Sum | Solution | Solve | Medium | Amazon+7 | ||
| 994. Rotting Oranges | Solution | Solve | Medium | Adobe+51 | ||
| 1475. Final Prices With a Special Discount in a Shop | Solution | Solve | Easy | Amazon+6 | ||
| 1526. Minimum Number of Increments on Subarrays to Form a Target Array | Solution | Solve | Hard | Amazon+6 | ||
| 1642. Furthest Building You Can Reach | Solution | Solve | Medium | Amazon+14 | ||
| 2222. Number of Ways to Select Buildings | Solution | Solve | Medium | Amazon+2 |
Minimum Number of Increments on Subarrays to Form a Target Array
About Dream11 Coding Interviews
Dream11, one of India’s largest fantasy sports platforms, operates at massive scale during live matches. Their engineering teams build systems that process millions of real-time events, user actions, and leaderboard updates simultaneously. Because of this scale, Dream11 interviews focus heavily on strong fundamentals in data structures, algorithmic problem solving, and performance optimization.
In a typical Dream11 coding interview, candidates are expected to write clean, efficient solutions while explaining trade‑offs clearly. Interviewers often look for engineers who can reason about time complexity and handle large datasets efficiently—skills that are critical for real-time gaming and contest systems.
Most Dream11 candidates go through multiple technical rounds including:
- Initial coding screen focusing on core DSA problems
- Technical interview rounds involving deeper algorithmic challenges
- Machine coding or system design (for experienced roles)
- Hiring manager or culture fit discussion
Based on real candidate experiences, Dream11 commonly asks problems involving:
- Arrays and hashing for fast lookups
- Sliding window and two pointers
- Heap and priority queue problems
- Graph traversal and BFS/DFS
- Greedy and interval scheduling
The difficulty distribution usually includes easy to medium problems in early rounds and medium to hard problems in later rounds. Interviewers also expect you to optimize brute-force solutions step by step.
On FleetCode, we’ve compiled 12 real Dream11 interview questions frequently asked in coding rounds. Each problem is categorized by difficulty and includes optimized solutions in Python, Java, and C++. Practicing these patterns will help you build the exact problem-solving skills Dream11 evaluates during their coding interviews.
Interview Tips for Dream11
Preparing for a Dream11 coding interview requires strong algorithmic fundamentals and the ability to reason about performance at scale. While the exact process varies slightly by role, most candidates experience a structured technical evaluation focused on DSA and real-world problem solving.
Typical Dream11 interview process:
- Recruiter Screen (20–30 minutes) – discussion about your experience, projects, and interest in Dream11.
- Coding Round 1 (60 minutes) – one or two DSA problems focused on arrays, hashing, or sliding window.
- Coding Round 2 (60 minutes) – medium or hard problems involving graphs, heaps, or dynamic programming.
- Machine Coding / System Design (for experienced engineers) – designing scalable components such as leaderboard systems, contest management, or event processing pipelines.
- Hiring Manager Round – focuses on engineering thinking, past projects, and collaboration.
DSA topics most commonly asked at Dream11:
- Arrays and prefix/suffix computations
- Hash maps and frequency counting
- Sliding window and two pointers
- Heap / priority queue for top‑k problems
- Graph traversal (BFS/DFS)
- Greedy algorithms and interval scheduling
Preparation strategy that works well:
- Solve 150–200 quality DSA problems focusing mainly on medium difficulty.
- Practice writing code without relying on built-in shortcuts so you can explain each step.
- Always discuss time and space complexity before coding.
- Practice optimizing brute-force solutions into efficient approaches.
Common mistakes candidates make:
- Jumping into code without clarifying constraints.
- Ignoring edge cases like empty inputs or duplicates.
- Not explaining reasoning or complexity during the interview.
- Writing overly complex solutions when a simpler pattern exists.
Recommended preparation timeline: Most candidates prepare for about 6–8 weeks of consistent DSA practice. Focus on mastering patterns like sliding window, heaps, and graphs since these appear frequently in Dream11 interview questions. Practicing company‑specific problem sets—like the curated list on FleetCode—can significantly improve your chances of clearing the coding rounds.