MongoDBLeetCode Questions
VerifiedCommunity-reported coding interview questions for MongoDB, organized by frequency across 30-day, 3-month, and 6-month recency windows.
# | Problem | Difficulty | Frequency↓ | Acceptance | |
|---|---|---|---|---|---|
| #208 | Implement Trie (Prefix Tree)3 sources | Medium | 100% | 69.7% | |
| #1146 | Snapshot Array3 sources | Medium | 100% | 36.8% | |
| #349 | Intersection of Two Arrays3 sources | Easy | 100% | 78.0% | |
| #139 | Word Break3 sources | Medium | 100% | 49.6% | |
| #146 | LRU Cache3 sources | Medium | 90% | 47.6% | |
| #68 | Text Justification3 sources | Hard | 88% | 51.5% | |
| #23 | Merge k Sorted Lists3 sources | Hard | 88% | 60.0% | |
| #1242 | Web Crawler Multithreaded3 sources | Medium | 80% | 51.3% | |
| #2759 | Convert JSON String to Object3 sources | Hard | 80% | 62.2% | |
| #210 | Course Schedule II3 sources | Medium | 78% | 55.9% | |
| #56 | Merge Intervals3 sources | Medium | 75% | 52.3% | |
| #2034 | Stock Price Fluctuation3 sources | Medium | 75% | 49.2% | |
| #57 | Insert Interval2 sources | Medium | 75% | 45.5% | |
| #239 | Sliding Window Maximum3 sources | Hard | 73% | 49.0% | |
| #642 | Design Search Autocomplete System3 sources | Hard | 71% | 50.0% | |
| #981 | Time Based Key-Value Store3 sources | Medium | 71% | 50.0% | |
| #1 | Two Sum2 sources | Easy | 71% | 0.6% | |
| #2591 | Easy | 71% | 0.2% | ||
| #617 | Merge Two Binary Trees3 sources | Easy | 63% | 79.1% | |
| #1650 | Medium | 63% | 83.0% | ||
| #443 | String Compression3 sources | Medium | 63% | 60.3% | |
| #133 | Clone Graph3 sources | Medium | 63% | 65.7% | |
| #165 | Compare Version Numbers3 sources | Medium | 63% | 46.7% | |
| #33 | Search in Rotated Sorted Array2 sources | Medium | 63% | 45.2% | |
| #140 | Word Break II2 sources | Hard | 63% | 55.8% | |
| #21 | Merge Two Sorted Lists2 sources | Easy | 63% | 68.5% | |
| #236 | Medium | 63% | 69.7% | ||
| #1438 | Medium | 61% | 0.6% | ||
| #1488 | Medium | 61% | 0.4% | ||
| #207 | Medium | 61% | 0.5% |
MongoDB Technical Interview Overview & Company-Wise Questions
This page organizes 30 community-reported MongoDB LeetCode problems by difficulty, frequency, and recency so you can build a focused preparation queue. Reports are aggregated from public datasets and should be treated as preparation signals rather than predictions.
How to prioritize MongoDB preparation
Start with the 1 questions reported in the last 30 days, then work through the highest-frequency topics (Hash Table, Array, String, Design). This page tracks 30 community-reported questions across 5 Easy, 19 Medium, and 6 Hard problems. Data refreshed Oct 28, 2026.
Frequently Asked Questions
What are the most frequent LeetCode questions for MongoDB?
The leading problems in the available MongoDB interview reports include Implement Trie (Prefix Tree), Snapshot Array, Intersection of Two Arrays. This page tracks 30 reported problems across Easy (5), Medium (19), and Hard (6) difficulty levels.
Where can I practice company-wise LeetCode questions for MongoDB?
You can review all 30 MongoDB questions on this page, filter them by 30-day, 3-month, 6-month, and all-time windows, and save practice progress for free.
How does LeetMap Pro organize MongoDB interview problem recency?
LeetMap Pro groups community-reported occurrences into 30-day, 3-month, 6-month, and older windows. These are preparation signals from the available sources, not guarantees that a problem will appear in a future interview.
What is the difficulty distribution for MongoDB coding questions?
Medium is the largest tracked difficulty group for MongoDB, with 19 problems. The full distribution is 5 Easy, 19 Medium, and 6 Hard.