Prepare for Cohesity technical interviews with 5 tracked LeetCode questions, sortable by difficulty and topic.
| Title | Difficulty | Topics | Frequency | LeetCode |
|---|---|---|---|---|
| LRU Cache | Medium | 100% | Solve | |
| Path With Minimum Effort | Medium | 88.3% | Solve | |
| Number of Flowers in Full Bloom | Hard | 59.3% | Solve | |
| Find Median from Data Stream | Hard | 55.9% | Solve | |
| Search in Rotated Sorted Array | Medium | 53.4% | Solve |
5 questions total
Company analytics
Questions tracked
5
Questions currently linked to Cohesity
Topics represented
16
Distinct topics visible in this company set
Dominant difficulty
medium
60% of tracked questions
Avg frequency score
71.4
Mean frequency across this company question set
Cohesity currently has 5 tracked questions linked to 16 topics, so this page is a good benchmark for how deep the dataset goes on one employer.
The most common topics for Cohesity include Array, Binary Search, Design, and Hash Table. Array alone appears 3 times in the visible topic distribution. That topic spread helps you identify whether this company is repeating a few patterns or testing across a broader surface area.
The current question set averages a frequency score of 71.4, and medium is the dominant difficulty bucket at 60% of tracked coverage. That makes it easier to decide whether to practice for repetition, complexity, or both.
Cohesity related paths
This section answers the most practical questions about using the Cohesity route as a company-specific LeetCode study page.
Start with the highest-frequency questions inside Array, Binary Search, and Design, then sort the table by frequency to build a shortlist. That gives you a faster first pass through Cohesity's interview patterns than trying to cover every linked problem at once.
medium makes up 60% of the tracked Cohesity question set. Use that split to decide whether your study plan should emphasize coverage, realistic interview pressure, or deeper problem solving.
Use this page to identify Cohesity's strongest topic signal, then open Array and the global most-asked or questions explorer routes to see whether that company-specific pattern is also common across the wider dataset.
