Problem database last updated: June 20, 2025
3 problems · 0 Easy, 2 Medium, 1 Hard · Ranked #346 of 458
0 Easy
0% · avg 23%
2 Medium
67% · avg 59%
1 Hard
33% · avg 18%
Based on 3 reported problems, Cohesity interviews are significantly harder than average - 33% Hard vs 18% across all companies. The majority (67%) of questions are Medium difficulty, which is typical for companies that want to see solid fundamentals without excessive trick questions.
Compared to the industry average, Cohesity puts unusual emphasis on design (66.7% of problems, 11.5x the industry average), heap-priority-queue (66.7% of problems, 11x the industry average). If you're short on time, these are the categories to double down on.
The most common topics are design (66.7%), heap-priority-queue (66.7%), hash-table (33.3%), linked-list (33.3%). Problems below are sorted by frequency, the ones at the top are asked most often.
| Problem | Difficulty | Frequency | Topics | |
|---|---|---|---|---|
LRU Cache Design a data structure that follows the constraints of a Least Recently Used (LRU) cache. | Medium | Very Likely | hash-tablelinked-listdesign | Solve |
Find Median from Data Stream The median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value, and the median is the mean of the two midd... | Hard | Very Likely | two-pointersdesignsorting | Solve |
Path With Minimum Effort You are a hiker preparing for an upcoming hike. You are given heights, a 2D array of size rows x columns, where heights[row][col] represents the height of cell... | Medium | Very Likely | arraybinary-searchdepth-first-search | Solve |
LRU Cache
SolveDesign a data structure that follows the constraints of a Least Recently Used (LRU) cache.
Find Median from Data Stream
SolveThe median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value, and the median is the mean of the two midd...
Path With Minimum Effort
SolveYou are a hiker preparing for an upcoming hike. You are given heights, a 2D array of size rows x columns, where heights[row][col] represents the height of cell...
Frequency scores are based on crowdsourced interview reports. A higher score means the problem has been reported more often in recent Cohesity interviews.
Very Likely
75-100%
Likely
50-74%
Sometimes
25-49%
Rare
0-24%
Cohesity interviews focus heavily on design, heap-priority-queue, hash-table problems. If you're short on time, these are the categories to prioritize. The problems on this page are sorted by frequency, so start from the top and work your way down.
Beyond solving problems, practice explaining your approach. Cohesity interviewers care about your thought process - how you break down a problem, consider edge cases, and evaluate tradeoffs between solutions. A clean O(n) solution you can explain clearly beats an O(log n) solution you can't articulate.
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Cohesity has been reported to ask 3 distinct coding problems. The most common topics are design, heap-priority-queue, hash-table. 0 are Easy difficulty, 2 are Medium, and 1 are Hard. Problems are sorted by frequency - the ones at the top are asked most often.
Based on 3 reported problems, Cohesity interviews are significantly harder than average - 33% Hard vs 18% across all companies. 67% of questions are Medium difficulty. Focus on the high-frequency Medium problems first, then work through the Hard ones.
Start with the highest-frequency problems listed on this page. Focus on the core topics: design, heap-priority-queue, hash-table. Practice solving them under time pressure and explaining your approach out loud. Mock interviews with AI can simulate the real experience.
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