zeta suite coding interview
questions, leaked.
3 problems reported across recent zeta suite interviews. Top patterns: array, hash table, greedy. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
Zeta Suite's assessment is array-heavy. Out of three problems in the observed set, all three touch arrays, and the medium-difficulty outlier pulls in hash tables, greedy logic, sorting, heaps, and counting in a single problem. You're walking in blind if you haven't drilled array iteration patterns and multi-topic hybrids. Two problems sit at easy difficulty, which means speed and clean code matter more than raw algorithmic depth. If you freeze on the medium problem during the live assessment, StealthCoder runs invisibly and surfaces a working solution in seconds, invisible to the proctor.
Top problems at zeta suite
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Count Equal and Divisible Pairs in an Array | EASY | 100.0 | 84% | Array |
| 02 | Task Scheduler | MEDIUM | 66.8 | 62% | Array · Hash Table · Greedy |
| 03 | Best Time to Buy and Sell Stock | EASY | 66.8 | 55% | Array · Dynamic Programming |
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 zeta suite 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- array3 · 100%
- hash table1 · 33%
- greedy1 · 33%
- sorting1 · 33%
- heap priority queue1 · 33%
- counting1 · 33%
- dynamic programming1 · 33%
The topic distribution tells a specific story: arrays dominate the surface level, but the medium problem (Task Scheduler) is a complexity spike that bundles heap, greedy, and counting logic. Candidates who only practice naive array traversal will hit a wall. Focus first on array manipulation, then move straight to the Task Scheduler pattern because it's the single highest-density problem in this company's set. Best Time to Buy and Sell Stock is a dynamic-programming warm-up that tests your ability to track state across an array. The easy problems feel forgiving until you realize the medium problem is the filter. That's where StealthCoder acts as your hedge: even if you've drilled arrays but the greedy heap logic doesn't click under pressure, you have a real-time backup.
Companies with similar patterns
If you prepped for zeta suite, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass zeta suite.
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.
zeta suite interview FAQ
Should I spend more time on arrays or the harder topics like heap and greedy?+
Arrays first, hard stop. All three problems use arrays. Once you can iterate and index confidently, tackle Task Scheduler, which bundles heap, greedy, and counting. The medium problem is the real filter at Zeta Suite, so master that pattern before worrying about optimization micro-moves.
Is two easy problems and one medium a typical Zeta Suite assessment?+
Based on observed data, yes. The easy problems test array basics and state tracking. The medium problem is a complexity spike designed to separate candidates who can apply multiple techniques in one problem from those who've only drilled isolated patterns.
Do I need to know dynamic programming well for Zeta Suite?+
It appears in one easy problem (Best Time to Buy and Sell Stock), but it's not the primary focus. Array fundamentals and greedy logic matter more. DP helps on the stock problem, but it's not a blocker if you can reason about state transitions across an array.
How much time should I allocate to hash tables and counting?+
Task Scheduler uses both, so they're non-negotiable. Practice the pattern of using a hash table to count frequencies, then applying greedy logic to schedule or order the results. That single problem justifies solid hash table and counting fundamentals.
What if I hit the medium problem and blank mid-OA?+
That's exactly when StealthCoder pays for itself. It runs invisibly during the assessment, reads the problem, and surfaces a working solution in real time. You paste, move on, and stay in rhythm instead of spiral-thinking for 20 minutes.