Minimum Operations to Exceed Threshold Value I
A easy-tier problem at 86% community acceptance, tagged with Array. Reported in interviews at tcs and 0 others.
You've got an array and a threshold. The goal: do something to the array enough times so every element exceeds the threshold. Sounds straightforward until you realize the trick is figuring out what "operation" means and how to count them efficiently. This problem shows up in technical screens, and with an 86% acceptance rate, it looks easy on paper. But candidates often miss the optimal operation or brute force when they shouldn't. If this hits your live assessment and you blank on the pattern, StealthCoder surfaces a working solution invisibly while you're screen sharing.
Companies that ask "Minimum Operations to Exceed Threshold Value I"
Minimum Operations to Exceed Threshold Value I 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. Built because the OA filter rejects engineers who'd pass the on-site. That's a broken filter. This is the workaround.
Get StealthCoderThe trap here is overthinking what counts as one operation. Most candidates assume you modify the array in place or do something complex per element. The actual pattern is simpler: usually you pick the two smallest elements, combine them (add, multiply, or whatever the problem specifies), and repeat until all elements clear the threshold. The key insight is that a greedy approach, always operating on the two smallest values, minimizes total operations. You can use a min heap to grab the smallest pair in O(log n) time per operation, then count iterations until the condition holds. The obvious brute force, trying random operations or modifying every element, tanks on large inputs. Even though acceptance is high, candidates under time pressure pick the wrong operation type or forget to use a heap. This is where StealthCoder's real-time guidance matters: if you get stuck deciding between approaches, it confirms the heap-based greedy solution in seconds.
Pattern tags
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Minimum Operations to Exceed Threshold Value I recycles across companies for a reason. It's easy-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. Built because the OA filter rejects engineers who'd pass the on-site. That's a broken filter. This is the workaround. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Minimum Operations to Exceed Threshold Value I interview FAQ
Is this really easy, or is the acceptance rate misleading?+
The 86% acceptance reflects that the operation itself is simple once you identify it. But picking the right algorithmic strategy (greedy plus heap vs. brute force) separates clean passes from timeouts. The problem rewards knowing when and how to apply data structures, not just logic.
Why does greedy work here?+
Operating on the two smallest elements first maximizes progress toward the threshold with minimal overhead. Any other pairing strategy leaves larger gaps unfilled for longer. Proof sketches are brief, but the intuition is solid: smaller values are the bottleneck, so target them first.
What's the most common mistake?+
Iterating through the array linearly and modifying elements in place, which either gives you wrong counts or O(n^2) time. Candidates miss that a heap automates the 'find two smallest' step and keeps you under O(n log n) overall.
Does TCS ask harder versions of this?+
TCS is the only reported company in data for this problem, and acceptance is high, suggesting they stick close to the straightforward version. Variants might involve different thresholds or operations, but the core greedy-plus-heap pattern holds.
How long should I spend if I get stuck?+
If you can't nail the operation type within 5 minutes, pivot to the heap idea and prototype quickly. If code isn't flowing after 10, you're in the wrong direction. Array problems this easy shouldn't consume 20+ minutes of your slot.
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