MEDIUMasked at 1 company

Minimum Levels to Gain More Points

A medium-tier problem at 39% community acceptance, tagged with Array, Prefix Sum. Reported in interviews at IBM and 0 others.

Founder's read

Minimum Levels to Gain More Points is a medium-difficulty array problem that's hit IBM's online assessments. With a 39% acceptance rate, most candidates who see it live don't solve it cleanly. The trick isn't obvious from the problem statement alone, which is exactly why this one trips people up during timed OAs. If you haven't drilled the prefix sum angle and this lands in your assessment, StealthCoder solves it invisibly in seconds so you can move on.

Companies asking
1
Difficulty
MEDIUM
Acceptance
39%

Companies that ask "Minimum Levels to Gain More Points"

If this hits your live OA

Minimum Levels to Gain More Points 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 by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage.

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What this means

The naive approach is to iterate and check conditions at each step, but that'll either time out or miss the optimization window. The real pattern is prefix sum. You need to precompute cumulative gains and losses so you can answer 'at what point do I have enough points' in constant time per query, not linear. The gotcha: candidates often compute the prefix arrays correctly but then misapply them when checking the minimum level condition. StealthCoder reads the exact problem constraints off your screen and surfaces the correct prefix sum construction plus the level comparison logic, so if you blank on the pattern during live assessment, you're covered.

Pattern tags

The honest play

You know the problem. Make sure you actually pass it.

Minimum Levels to Gain More Points 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. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage. Works on HackerRank, CodeSignal, CoderPad, and Karat.

Minimum Levels to Gain More Points interview FAQ

Is this problem really only 39% acceptance?+

Yes. The acceptance rate is 39%, which means the majority of candidates don't pass all test cases on first attempt. The prefix sum optimization isn't the first thing most people think of, so many try brute force or incomplete greedy approaches and fail.

What's the actual trick to this problem?+

Prefix sums. You must precompute cumulative sums of gains and losses so you can query total points at any level in O(1) time. The minimum level condition requires checking both prefix arrays together, and most candidates miss one of the two conditions or apply them incorrectly.

Has IBM asked this recently?+

IBM is the only company reported to ask this problem. It's not widespread across FAANG or other giants, so prep materials and YouTube solutions are thin on the ground. That makes drilling the pattern yourself or having a live safety net even more valuable.

How does this relate to other array problems I've prepped?+

Prefix sums are foundational for range-query problems and cumulative logic. If you're solid on prefix sums, this is a clean application. If not, you'll see why prefix sums matter: they turn nested loops into single passes and conditional checks into instant lookups.

If I don't remember the exact approach, what do I do on the OA?+

If you freeze during the live assessment, StealthCoder runs invisibly and delivers a working solution in real time. You see the pattern, the code, and the logic without the proctor knowing, so you can paste a correct answer and move on rather than burning 30 minutes on trial and error.

Want the actual problem statement? View "Minimum Levels to Gain More Points" on LeetCode →

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