Minimum Size Subarray Sum
A medium-tier problem at 49% community acceptance, tagged with Array, Binary Search, Sliding Window. Reported in interviews at Microsoft and 11 others.
Minimum Size Subarray Sum shows up in Microsoft, Oracle, Nvidia, and DoorDash assessments regularly. You're given an array and a target sum; find the shortest contiguous subarray whose elements add up to at least that target. Half the candidates fail it on first attempt. The trap is that a naive nested loop will time out, and the obvious binary search approach feels clunky. Sliding window is the pattern that unlocks it, but only if you see it fast. If you blank mid-assessment, StealthCoder runs invisibly and solves it in seconds, leaving you free to move on.
Companies that ask "Minimum Size Subarray Sum"
Minimum Size Subarray Sum is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Made by an Amazon engineer who watched the leaked-problem repo become an industry secret. He decided you should have it too.
Get StealthCoderThe trick is two pointers moving in the same direction. Expand the right pointer to grow the window sum until it meets or exceeds the target. Then shrink from the left to find the minimum length, moving right again when the sum drops too low. This is Sliding Window at its purest, and it runs in a single pass. The novice mistake is thinking you need Binary Search or a Prefix Sum array first. You don't. Those add complexity and overhead. The acceptance rate hovers around 49%, which means roughly half of attempts stumble on implementation or edge cases like all-zero arrays or impossible sums. If this problem blindsides you live, StealthCoder surfaces a clean, working solution before panic sets in.
Pattern tags
You know the problem.
Make sure you actually pass it.
Minimum Size Subarray Sum recycles across companies for a reason. It's medium-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. 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.
Minimum Size Subarray Sum interview FAQ
Is this really asked at FAANG?+
Yes. Microsoft, Nvidia, Oracle, and Goldman Sachs have all reported asking it. It's a medium that filters for pattern recognition and clean iteration logic, not raw firepower. If you see it live, you're being tested on whether you know Sliding Window.
What's the trick I'm probably missing?+
You don't need Binary Search or a Prefix Sum array. Use two pointers on the original array, expanding right to grow the sum and shrinking left to minimize length. One pass, O(n) time. Most candidates overthink it and lose time on a complex approach.
How does this relate to other Sliding Window problems?+
It's the canonical 'find minimum window' variant. You'll see similar patterns in substring and subarray problems across Arrays and Prefix Sum categories. Master the two-pointer rhythm here and you'll recognize it everywhere.
Why does this trip up so many people if it's medium difficulty?+
The acceptance rate is 49%, not 70%. Candidates either don't know Sliding Window at all, or they know it but implement the shrinking logic wrong, especially around boundary conditions and when no valid subarray exists.
What edge case kills most submissions?+
When the target is unreachable (sum of all elements is less than target) or when a single element equals the target. Your code must return the correct length or -1 without crashing. Test both before submitting live.
Want the actual problem statement? View "Minimum Size Subarray Sum" on LeetCode →