Apply Operations to Make Two Strings Equal
A medium-tier problem at 27% community acceptance, tagged with String, Dynamic Programming. Reported in interviews at Zeta and 0 others.
Apply Operations to Make Two Strings Equal is a medium-difficulty string and dynamic programming problem with a 27% acceptance rate. It's been asked at Zeta. The problem looks deceptively simple on first read: you have two strings and operations you can perform, and you need to figure out if you can make them equal. Most candidates start with a greedy or naive simulation approach and hit the wall when test cases fail. That's exactly where the DP trick lives. If this problem lands in your assessment and you blank on the pattern, StealthCoder solves it invisibly in seconds.
Companies that ask "Apply Operations to Make Two Strings Equal"
Apply Operations to Make Two Strings Equal 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 challenge is recognizing that operations often have overlapping or dependent choices, meaning greedy won't work. You need dynamic programming to explore state space: either track which positions you've processed and what's currently matched, or use memoization to avoid recomputing identical subproblems. Most candidates try to simulate operations left-to-right without considering that later decisions affect earlier ones. The DP state typically involves the current indices in both strings and maybe a cost or count. The acceptance rate below 28% signals that the pattern isn't immediately obvious, and naive string manipulation fails. StealthCoder acts as your safety net if the trick doesn't click during the live OA.
Pattern tags
You know the problem.
Make sure you actually pass it.
Apply Operations to Make Two Strings Equal 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 Amazon engineer who used it to pass JPMorgan's OA and system design loop. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Apply Operations to Make Two Strings Equal interview FAQ
Is this problem actually about string matching or something deeper?+
It's about state exploration under constraints. You can't just check if strings are equal after one pass. You need to model all possible sequences of operations and find whether any path makes them equal. That's why DP is required, not a simple scan.
What makes this harder than other string DP problems?+
Most string DP problems process characters left-to-right linearly. This one has operations that can affect multiple positions or have ordering dependencies. The 27% acceptance rate reflects that the state design isn't obvious. You need to identify what actually matters to track.
Will a greedy approach ever work here?+
Not reliably. Greedy assumes that making the locally optimal choice at each step leads to a global solution. With overlapping operations or dependent choices, a greedy pick early can block valid solutions later. DP explores all paths.
How do I design the DP state for this?+
Start by asking: what information do I need to know at any point to determine if a solution is possible? Usually it's positions in both strings and maybe a cost or operation count. Define transitions as the operations you can apply, and memoize to avoid revisiting identical states.
Is this problem asked frequently in real interviews?+
It's been reported at Zeta. The low 27% acceptance rate and medium difficulty suggest it's a discriminator question: easy to state, hard to solve without the DP insight. If you see it in an OA, treat it as a high-stakes problem.
Want the actual problem statement? View "Apply Operations to Make Two Strings Equal" on LeetCode →