Minimum Number of Operations to Make Arrays Similar
A hard-tier problem at 60% community acceptance, tagged with Array, Greedy, Sorting. Reported in interviews at Walmart Labs and 0 others.
You're given two arrays and need to transform one into the other with the minimum number of swaps. Walmart Labs has asked this one, and at 60% acceptance it's harder than it looks. The trap is thinking you can swap any two elements freely. You can't. The trick sits in understanding which elements can actually be swapped and in what order, which means sorting, greedy selection, and careful pairing. If this problem hits your live assessment and the greedy pattern doesn't click immediately, StealthCoder solves it invisibly in seconds, surfacing the working solution before you waste 15 minutes on a dead-end approach.
Companies that ask "Minimum Number of Operations to Make Arrays Similar"
Minimum Number of Operations to Make Arrays Similar 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 Amazon engineer who used it to pass JPMorgan's OA and system design loop.
Get StealthCoderThe core insight is that you can only swap elements at specific positions, not arbitrarily. After sorting both arrays, you need to pair elements from the unsorted array with their targets in sorted form, then count the minimum swaps to achieve that pairing. This is a greedy problem that looks deceptively simple until you realize the constraint structure. Most candidates jump straight to counting mismatches or attempting a BFS simulation, burning time on approaches that don't scale. The real solution uses sorting and careful greedy assignment to find which elements need to move and in what order. If you blank on whether to sort first, whether the pairing strategy is greedy or optimal-substructure, or how to count swaps from the permutation, StealthCoder removes that friction during the live OA and hands you a tested implementation.
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Minimum Number of Operations to Make Arrays Similar recycles across companies for a reason. It's hard-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 Amazon engineer who used it to pass JPMorgan's OA and system design loop. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Minimum Number of Operations to Make Arrays Similar interview FAQ
How hard is 'Minimum Number of Operations' really compared to other Hard array problems?+
At 60% acceptance, it's easier than the median Hard problem, but the gap is in understanding the constraint model first. Once you see that only certain swaps are legal, the rest flows. Most failures come from misreading the problem or trying brute-force simulation, not the algorithm itself.
Is this problem still asked at tech companies?+
Yes. Walmart Labs has confirmed it. The problem remains relevant because it tests reading comprehension, sorting intuition, and greedy decision-making under constraints. All three are fundamental to systems design and real interview loops.
What's the trick to this problem?+
The trick is realizing you're not freely swapping. The constraint on which positions can swap forces you to sort and pair elements greedily. Once you see that, the problem becomes a matching and permutation-cycle problem, not a general swap problem.
Does this problem need dynamic programming?+
No. Greedy and sorting are sufficient. The confusion arises because the problem statement can feel like it demands exploring many states, but the constraint structure means a single greedy pass after sorting gives the optimal answer.
How does this relate to the Sorting and Greedy topics?+
Sorting is the first step to identify the target state and match elements. Greedy comes next: once you know which elements need to move, you greedily assign them to minimize total swaps. Array manipulation ties it together.
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