Apply Operations on Array to Maximize Sum of Squares
A hard-tier problem at 43% community acceptance, tagged with Array, Hash Table, Greedy. Reported in interviews at Sprinklr and 0 others.
Apply Operations on Array to Maximize Sum of Squares is a hard problem that's shown up in Sprinklr assessments. With a 43% acceptance rate, you're looking at a problem where the brute-force approach gets punished. The trick isn't immediately obvious: you need to see that greedy selection combined with bit manipulation can transform what looks like exponential complexity into something solvable. If you hit this during a live OA and the pattern doesn't click, StealthCoder surfaces the working approach invisibly while you stay on screen share.
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Apply Operations on Array to Maximize Sum of Squares 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 realized the OA tests how well you memorized 200 problems, not how well you code.
Get StealthCoderThe core challenge is figuring out which operations to apply and in what order to maximize the sum of squares. Most candidates start with a recursive or backtracking approach, which tanks on larger inputs. The insight is that greedy selection works here: at each step, you want to pick the operation that gives you the largest immediate gain, combined with hash table tracking to avoid redundant states. Bit manipulation enters when you realize you can encode operation history efficiently. Common failure point: ignoring that certain operation sequences lead to the same array state, wasting computation. When you get stuck on the choice order or state explosion, StealthCoder cuts through the noise and shows the greedy + hash table pattern that passes all test cases.
Pattern tags
You know the problem.
Make sure you actually pass it.
Apply Operations on Array to Maximize Sum of Squares 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 realized the OA tests how well you memorized 200 problems, not how well you code. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Apply Operations on Array to Maximize Sum of Squares interview FAQ
Is this really a hard problem or does it just feel hard?+
The 43% acceptance rate confirms it's legitimately hard. Most people either time out on recursion or miss the greedy insight entirely. Once you see that greedy + hash table works, implementation is straightforward. But the pattern isn't obvious from the problem statement alone.
Does the bit manipulation topic mean I need complex bitwise tricks?+
Bit manipulation helps with state encoding and optimization, but it's not the primary insight. Focus on greedy selection and hash table deduplication first. Bit tricks are the polish that makes your solution efficient enough to pass.
How does this relate to classic greedy problems?+
Like coin change or activity selection, this problem requires proving that greedy works for the specific structure. The difference here is that you also need to avoid recomputing identical array states, which is where the hash table and bit encoding come in together.
Will I see this at other companies or just Sprinklr?+
The data shows Sprinklr as the primary source. That said, the pattern (greedy plus hash table state tracking) is common across Google, Meta, and Amazon OAs. Solving this problem teaches a reusable strategy.
What's the most common way people fail this problem?+
Either they write exponential backtracking without memoization, or they see the greedy idea but forget to track seen states, causing duplicate work or incorrect results. Combining both techniques is essential.
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