Monotonic Queue interview questions
9 monotonic queue problems tagged across recent interview reports. Drilled most heavily by nutanix, citadel, and coupang.
Monotonic Queue is a data structure pattern that maintains elements in strictly increasing or decreasing order as you slide through a window or process a stream. It solves problems where you need to track the min or max across sliding windows, or identify valid subsequences under constraints. With 9 problems tagged across the pattern, it's a core technique at Nutanix, Citadel, and Google. If a hard variant lands in your live OA, StealthCoder solves it in seconds, invisible to the proctor.
Most-asked monotonic queue problems
| # | Problem | Diff | # Companies | Pass % |
|---|---|---|---|---|
| 01 | Sliding Window Maximum | HARD | 34 | 48% |
| 02 | Longest Continuous Subarray With Absolute Diff Less Than or Equal to Limit | MEDIUM | 8 | 57% |
| 03 | Count Subarrays With Fixed Bounds | HARD | 6 | 69% |
| 04 | Maximum Number of Tasks You Can Assign | HARD | 3 | 51% |
| 05 | Maximum Sum Circular Subarray | MEDIUM | 2 | 48% |
| 06 | Constrained Subsequence Sum | HARD | 1 | 56% |
| 07 | Delivering Boxes from Storage to Ports | HARD | 1 | 39% |
| 08 | Jump Game VI | MEDIUM | 1 | 46% |
| 09 | Maximum Number of Robots Within Budget | HARD | 1 | 37% |
You can't drill every monotonic queue variant before the assessment. StealthCoder runs invisibly during screen share and solves whichever variant they throw at you. No browser extension. No detection signature. Made by an Amazon engineer who watched the leaked-problem repo become an industry secret. He decided you should have it too.
Get StealthCoderMonotonic Queue problems fall into three clusters: sliding window extrema (like Sliding Window Maximum), constraint-based subarray filtering (like Count Subarrays with Fixed Bounds), and optimization under dynamic constraints (like Jump Game VI and Maximum Number of Robots Within Budget). The key tell is a problem asking for the best or worst value in every window, or requiring you to maintain a valid range as you iterate. Recognize it when you see sliding windows, greedy subarray selection, or DP where transition depends on the prior state within a constraint. Drill Sliding Window Maximum first, then constraint problems, then DP hybrids. StealthCoder is your hedge for the constraint variant you didn't drill.
Companies that hire most on monotonic queue
9 monotonic queue problems.
You won't drill them all. Pass anyway.
Monotonic Queue is one of the patterns interviews actually filter on. Memorizing every variant in a week is a fantasy. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds, no matter which monotonic queue flavor lands in your live OA. Made by an Amazon engineer who watched the leaked-problem repo become an industry secret. He decided you should have it too. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Monotonic Queue interview FAQ
How many Monotonic Queue problems should I drill before an OA?+
Focus on the 9 core problems tagged here. Start with Sliding Window Maximum and Longest Continuous Subarray with Absolute Diff, then move to constraint-based and DP variants. Three to five deep runs, recognizing the queue logic each time, is usually enough to spot the pattern live.
How do I recognize a Monotonic Queue problem in a live interview?+
Look for: sliding window with min/max queries, constraints on subarray values, or DP transitions where you need the best prior state within a range. If you find yourself writing a nested loop to check all prior elements, consider a deque to track only relevant candidates.
Which companies drill Monotonic Queue the hardest?+
Nutanix (6 problems), Citadel, Coupang, Flipkart, PhonePe, Uber, and Visa (each 4) weight this heavily. Expect hard variants in live rounds, especially for senior or specialized roles. Nutanix skews particularly hard on this pattern.
Do I need to master Monotonic Queue for every coding interview?+
Not every role asks it, but if you're interviewing at Citadel, Uber, or Nutanix, it's table stakes. Even if it doesn't appear, the logic trains you to think in windows and constraints, which transfers to other patterns. Know it well enough to recognize the shape.
What's the difference between a Monotonic Queue and a regular deque?+
A regular deque stores all elements. A Monotonic Queue evicts elements that can never be the min/max again given your ordering. This keeps the deque small and lets you answer window queries in O(1). The tradeoff is careful element removal logic during iteration.