oyo coding interview
questions, leaked.
9 problems reported across recent oyo interviews. Top patterns: array, greedy, heap priority queue. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
OYO's coding interview hits you with 9 problems across medium and hard difficulty. Arrays dominate the dataset, appearing in 7 of them, so you're looking at patterns like two-pointers, greedy approaches, and sliding windows rather than graph traversals or complex tree logic. The mix skews toward problems that punish weak array fundamentals: container problems, multi-sum variants, histogram tricks. You've got a week to drill these. StealthCoder is your invisible safety net if you blank on the live assessment, but the real work is front-loading array and greedy patterns now.
Top problems at oyo
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Furthest Building You Can Reach | MEDIUM | 100.0 | 50% | Array · Greedy · Heap (Priority Queue) |
| 02 | 4Sum | MEDIUM | 100.0 | 38% | Array · Two Pointers · Sorting |
| 03 | House Robber III | MEDIUM | 87.4 | 55% | Dynamic Programming · Tree · Depth-First Search |
| 04 | Copy List with Random Pointer | MEDIUM | 87.4 | 61% | Hash Table · Linked List |
| 05 | Container With Most Water | MEDIUM | 87.4 | 58% | Array · Two Pointers · Greedy |
| 06 | Maximum Profit in Job Scheduling | HARD | 87.4 | 54% | Array · Binary Search · Dynamic Programming |
| 07 | Largest Rectangle in Histogram | HARD | 87.4 | 47% | Array · Stack · Monotonic Stack |
| 08 | Sliding Window Maximum | HARD | 87.4 | 48% | Array · Queue · Sliding Window |
| 09 | Koko Eating Bananas | MEDIUM | 87.4 | 49% | Array · Binary Search |
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 oyo OA. The proctor cannot see it. Screen share cannot detect it. Built by an Amazon engineer who used it to pass JPMorgan's OA and system design loop.
Get StealthCoder- array7 · 78%
- greedy2 · 22%
- heap priority queue2 · 22%
- dynamic programming2 · 22%
- two pointers2 · 22%
- sorting2 · 22%
- binary search2 · 22%
- tree1 · 11%
- depth first search1 · 11%
- binary tree1 · 11%
The interview is heavily weighted toward array-based problems that require both pattern recognition and execution speed. Greedy, binary search, and dynamic programming each appear twice, but they're almost always layered on top of array manipulation. Heap and two-pointers show up twice as well, often paired with arrays. This tells you OYO isn't testing whether you know obscure data structures. They're testing whether you can think clearly under pressure when the problem looks deceptively simple. Problems like 'Container With Most Water' and 'Sliding Window Maximum' are easy to mess up if you haven't internalized the pattern. Stack-based problems like 'Largest Rectangle in Histogram' are notoriously tricky and warrant solo drilling time. If you freeze on a hard array problem during the assessment, StealthCoder surfaces a working approach in seconds, invisible to the proctor. But that's your hedge, not your plan. Your plan is to own arrays before you sit down.
Companies with similar patterns
If you prepped for oyo, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass oyo.
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. Built by an Amazon engineer who used it to pass JPMorgan's OA and system design loop. Works on HackerRank, CodeSignal, CoderPad, and Karat.
oyo interview FAQ
How many array problems should I solve before the OYO interview?+
At minimum 15 to 20 solid array problems covering two-pointers, sliding windows, and greedy patterns. Seven of OYO's nine problems are array-based, so this is non-negotiable. Focus on problems that teach you to think in terms of pointer movement and state rather than brute-force iteration.
Should I study dynamic programming or greedy first for OYO?+
Greedy first. It appears in multiple OYO problems and is almost always layered on top of array logic. Dynamic programming shows up twice but often requires you to nail the greedy or array foundation first. Problems like 'Furthest Building You Can Reach' blend both, so greedy patterns give you faster ROI.
Is binary search really necessary for OYO?+
Yes. It appears in two hard problems including 'Maximum Profit in Job Scheduling' and 'Koko Eating Bananas'. Both require binary search on the answer space combined with other patterns. Without it, you'll struggle on the harder tier of the interview.
What's the hardest problem type in OYO's dataset?+
Stack-based array problems like 'Largest Rectangle in Histogram' and 'Sliding Window Maximum' trip up most candidates because they require monotonic stack or deque thinking, which isn't intuitive. Drill these separately and expect them to take longer than standard two-pointer problems.
How much should I focus on tree and linked-list problems for OYO?+
Minimal. Only one tree problem and one linked-list problem appear in the dataset. After you've locked down arrays, greedy, and binary search, spend 2 to 3 hours on 'House Robber III' and 'Copy List with Random Pointer'. Don't let trees distract you from the core 70 percent of the interview.