LinkedIn vs MongoDB Interview Questions
LinkedIn lists 141 LeetCode interview questions while MongoDB lists 24. They share 11 problems — 8% of LinkedIn's bank and 46% of MongoDB's. Focus on the overlap first, then drill into 130 LinkedIn-only and 13 MongoDB-only questions.
Overview
Preparation Strategy
Step 1 — Shared core: Solve the 11 overlapping problems first. These are the highest-yield questions for candidates interviewing at both LinkedIn and MongoDB.
Step 2 — Company-specific depth: Add LinkedIn-specific problems like Max Stack, Nested List Weight Sum II, All O`one Data Structure and MongoDB-specific problems from the exclusive lists below.
Step 3 — Difficulty tuning: MongoDB skews harder in our data. Budget extra time for Hard problems if you are targeting that company.
Difficulty Comparison
Top Shared Topics
11 Shared Questions
High-priority problems to practice for both LinkedIn and MongoDB.
| Problem | Difficulty |
|---|---|
| Search in Rotated Sorted Array | Medium |
| Lowest Common Ancestor of a Binary Tree | Medium |
| Merge Intervals | Medium |
| LRU Cache | Medium |
| Merge Two Sorted Lists | Easy |
| Merge k Sorted Lists | Hard |
| Text Justification | Hard |
| Insert Interval | Medium |
| Lowest Common Ancestor of a Binary Tree III | Medium |
| Intersection of Two Arrays | Easy |
| Course Schedule II | Medium |
Unique to LinkedIn (130)
Problems in LinkedIn's list that do not appear at MongoDB.
| Problem | Difficulty |
|---|---|
| Max Stack | Hard |
| Nested List Weight Sum II | Medium |
| All O`one Data Structure | Hard |
| Word Ladder | Hard |
| Find the Celebrity | Medium |
| Nested List Weight Sum | Medium |
| Design Authentication Manager | Medium |
| Find Leaves of Binary Tree | Medium |
| Shortest Word Distance II | Medium |
| Maximum Subarray | Medium |
| Max Consecutive Ones III | Medium |
| Valid Parentheses | Easy |
Unique to MongoDB (13)
Problems in MongoDB's list that do not appear at LinkedIn.
| Problem | Difficulty |
|---|---|
| Word Break | Medium |
| Implement Trie (Prefix Tree) | Medium |
| Snapshot Array | Medium |
| Convert JSON String to Object | Hard |
| Web Crawler Multithreaded | Medium |
| Stock Price Fluctuation | Medium |
| Merge Two Binary Trees | Easy |
| Sliding Window Maximum | Hard |
| Design Search Autocomplete System | Hard |
| String Compression | Medium |
| Word Break II | Hard |
| Clone Graph | Medium |
Frequently Asked Questions
How many LeetCode questions do LinkedIn and MongoDB share?
LinkedIn and MongoDB share 11 LeetCode interview questions. 130 problems appear only in LinkedIn's list and 13 appear only in MongoDB's list.
What topics overlap most between LinkedIn and MongoDB?
The most common shared topics between LinkedIn and MongoDB are Array (5 shared questions), Hash Table (3 shared questions), Linked List (3 shared questions), Binary Search (2 shared questions), Tree (2 shared questions). Mastering these areas prepares you for both companies.
Which company asks harder LeetCode questions: LinkedIn or MongoDB?
LinkedIn has 25 Easy, 90 Medium, and 26 Hard questions. MongoDB has 3 Easy, 15 Medium, and 6 Hard questions. MongoDB has a higher proportion of Hard problems in its interview set.
How should I prepare if interviewing at both LinkedIn and MongoDB?
Start with the 11 shared problems since they cover what both companies ask most often. Then add 20 LinkedIn-specific and 13 MongoDB-specific questions to round out your prep.