LinkedIn Leetcode Questions

linkedin leetcode solution

Understanding the type of LinkedIn Leetcode Questions, they frequently asked. This article will guide you through what to expect and how to prepare.

1. Overview of LinkedIn Company

LinkedIn is a business and employment-focused social media platform that works through websites and mobile apps. Since December 2016, LinkedIn has been a wholly owned subsidiary of Microsoft. The platform is primarily used for professional networking and career development and allows job seekers to post their CVs and employers to post jobs. LinkedIn has over 1 billion registered members from over 200 countries and territories.

2. Why LinkedIn LeetCode Questions Matter

LinkedIn’s technical interviews heavily emphasize problem-solving skills, with LeetCode-style questions testing core concepts like arrays, linked lists, and dynamic programming. Mastering these questions is critical to stand out in a competitive hiring landscape.

3. Top LinkedIn LeetCode Questions to Master

Based on LinkedIn-tagged problems and recent interview trends, here are the top 10 LinkedIn LeetCode questions:

  1. Two Sum: Use hash maps for O(n) solutions.
  2. Merge Intervals: Sort and merge overlapping intervals.
  3. Maximum Subarray: Apply Kadane’s algorithm.
  4. Merge k Sorted Lists: Optimize with priority queues.
  5. Symmetric Tree: Validate tree symmetry recursively.
  6. Valid Parentheses: Stack-based bracket validation.
  7. Search in Rotated Sorted Array: Binary search variations.
  8. Word Ladder: BFS for shortest transformation.
  9. Evaluate Reverse Polish Notation: Stack operations.
  10. Maximum Product Subarray: Track min/max values dynamically.

4. How to Prepare for LinkedIn LeetCode Questions

  1. Focus on Patterns: Recognize recurring patterns like two-pointers, sliding windows, and DFS/BFS.
  2. Mock Interviews: Simulate real interviews with timed practice.
  3. Track Progress: Use LeetCode’s company-specific tags or GitHub repositories.
  4. Learn from Solutions: Study top-voted LeetCode discussions for optimization insights.

List of all Leetcode Problem
1. Easy Problems
2. Medium Problems
3. Hard Problems

LinkedIn Leetcode Questions
S.No.NameLevel of QuestionSolution
1Binary Tree Level Order TraversalMediumLink
2Binary Search Tree IteratorMediumLink
3Binary Tree Zigzag Level Order TraversalMediumLink
4Product of Array Except SelfMediumLink
5Lowest Common Ancestor of a Binary TreeMediumLink
64SumMediumLink
7Minimum Moves to Equal Array ElementsMediumLink
8My Calendar IIMediumLink
9My Calendar IMediumLink
10Longest Univalue PathMediumLink
11Repeated String MatchMediumLink
12Redundant ConnectionMediumLink
13Implement Magic DictionaryMediumLink
14Populating Next Right Pointers in Each NodeMediumLink
15Merge IntervalsMediumLink
16Word LadderHardLink
17Serialize and Deserialize Binary TreeHardLink
18Max Points on a LineHardLink
19Count Different Palindromic SubsequencesHardLink
20Valid NumberHardLink
21Insert IntervalMediumLink
22Minimum Window SubstringHardLink
23Find First and Last Position of Element in Sorted ArrayMediumLink
24Pow(X,N)MediumLink
25Permutations IIMediumLink
26PermutationsMediumLink
27Search in Rotated Sorted ArrayMediumLink
28Merge Two Sorted ListsEasyLink
29Merge K Sorted ListsHardLink
30Text JustificationHardLink
31House RobberMediumLink
32Two SumEasyLink

1. How many LeetCode questions should I solve for LinkedIn?

Aim for 150–200 well-chosen problems, prioritizing LinkedIn-tagged and high-frequency questions.

2. Is Python a good language for LinkedIn interviews?

Yes! Python’s simplicity and built-in libraries (e.g., heapqcollections) make it ideal for quick implementations.

3. Do LinkedIn interviews ask hard LeetCode questions?

Mostly medium-difficulty problems, but some roles (e.g., senior engineers) may include hard questions.

4. How often does LinkedIn update its question bank?

LinkedIn’s tagged questions evolve yearly. Check 2025-specific lists for updates

5. Can I skip LeetCode if I have strong project experience?

No, LeetCode remains a key filter for big tech companies like LinkedIn.

Final Tips for 2025 Success

  • Quality > Quantity: Deeply understand 50 problems rather than rushing through 500.
  • Revise Weak Areas: Revisit tree/graph problems and dynamic programming.
  • Leverage Communities: Join LinkedIn groups or GitHub repositories for shared resources.

With consistent practice and strategic preparation, you’ll ace LinkedIn’s coding challenges in 2025! 🚀

Happy Reading…

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