Hive coding interview
questions, leaked.
2 problems reported across recent Hive interviews. Top patterns: array, two pointers, dynamic programming. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Hive's assessment is lean and technical. You're looking at two problems split hard and medium, with array manipulation as the backbone. Both questions test your ability to handle edge cases and pick the right algorithmic approach under pressure. Trapping Rain Water sits in the hard slot and will feel like a trap if you're not ready for it. Sort an Array tests sorting fundamentals at scale. If you blank on the optimal approach during the live assessment, StealthCoder runs invisibly behind the proctor and surfaces a working solution in seconds. That's your safety net.
Top problems at Hive
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Trapping Rain Water | HARD | 100.0 | 65% | Array · Two Pointers · Dynamic Programming |
| 02 | Sort an Array | MEDIUM | 100.0 | 57% | Array · Divide and Conquer · Sorting |
Frequencies derived from public community-tagged interview reports. Click a row to view on LeetCode.
You have a week, maybe less. You can't out-grind the list above. StealthCoder runs invisibly during the actual Hive OA. The proctor cannot see it. Screen share cannot detect it. Made by a working FAANG engineer who treats the OA the way companies treat hiring: as a game with rules you should know.
Get StealthCoder- array2 · 100%
- two pointers1 · 50%
- dynamic programming1 · 50%
- stack1 · 50%
- monotonic stack1 · 50%
- divide and conquer1 · 50%
- sorting1 · 50%
- heap priority queue1 · 50%
- merge sort1 · 50%
- bucket sort1 · 50%
Arrays dominate here because both problems live in that space, but the topic distribution is deliberately wide. You're not grinding one pattern. You need two-pointers for the water problem, dynamic programming as a backup approach, and monotonic-stack thinking to optimize. The sorting problem forces you to decide between merge-sort, heap-based, radix, or bucket approaches fast. This isn't about knowing algorithms in isolation. It's about recognizing which one fits the constraints in real time. Monotonic-stack appears once but it's the key to solving Trapping Rain Water cleanly. Stack thinking in general will save you. If you haven't internalized the monotonic-stack pattern before your OA, StealthCoder is the hedge that keeps you from stalling.
Companies with similar patterns
If you prepped for Hive, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass Hive.
Memorizing every problem above in a week is a fantasy. StealthCoder is the hedge: an AI overlay that's invisible during screen share. It reads the problem on screen and surfaces a working solution in under 2 seconds. Made by a working FAANG engineer who treats the OA the way companies treat hiring: as a game with rules you should know. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Hive interview FAQ
Should I focus on Trapping Rain Water or the sorting problem first?+
Start with Trapping Rain Water. It's the hard problem and uses five distinct techniques across the data. Mastering the two-pointers or monotonic-stack approaches here builds intuition you can't fake live. The sorting problem is broader but more forgiving because you can default to merge-sort and adjust.
Is monotonic-stack worth studying for Hive specifically?+
Yes. It appears once in the reported problems, but that's the entire hard slot. It's a pattern you either know or you don't under pressure. Two-pointers and dynamic programming are backups for Trapping Rain Water, but monotonic-stack is the elegant path. Spend time on it.
How much time should I spend on different sorting algorithms?+
Know merge-sort and quicksort cold. Understand heap-sort, bucket-sort, radix-sort, and counting-sort conceptually so you can pick one based on constraints. The assessment doesn't ask you to code all of them, but you need to justify your choice. Merge-sort is the safest default.
Will two-pointers alone solve the water problem?+
Two-pointers gets you to O(n) time and O(1) space, which is the target. But you need to think through the invariant carefully. Dynamic programming and monotonic-stack also work and might feel more intuitive live. Know all three approaches so you pick the one your brain lands on first.
What if I freeze on one of these two problems during the assessment?+
That's the risk with a two-problem assessment. There's no warm-up, no easy win. You either solve or you don't. Your only real hedge is prep and a safety net. Practice both problems repeatedly and drill your approach until it's muscle memory.