Find Products of Elements of Big Array
A hard-tier problem at 22% community acceptance, tagged with Array, Binary Search, Bit Manipulation. Reported in interviews at IBM and 0 others.
This problem sits at the intersection of bit manipulation and efficient array processing, and it only shows up once in a blue moon. IBM has asked it. The acceptance rate is brutal at 21.7%, and most candidates who attempt it either misread the constraints or miss the bit-level optimization entirely. You're probably seeing this because the naive approach won't pass, or because you want to understand what separates the 21% from everyone else. The real trick isn't about finding products, it's about understanding what the constraint on array size actually forces you to do.
Companies that ask "Find Products of Elements of Big Array"
Find Products of Elements of Big Array 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. Made for the engineer who has done the work but might still blank with a webcam pointed at him.
Get StealthCoderThe trap is thinking you need to compute all products naively. The problem hinges on recognizing that a 'big array' has hard limits: you can't afford a traditional prefix-suffix product pass. This is where bit manipulation enters. Each element can be represented in binary, and you're working with modular arithmetic or bit-level constraints that make a direct product computation impossible or wasteful. Binary search comes in when you need to verify or narrow down candidates. The pattern candidates miss: you have to think about what information bits actually store, and which bits matter. If you hit this live and the math doesn't click, StealthCoder surfaces the bit-handling logic and the search strategy in seconds, invisible to the proctor.
Pattern tags
You know the problem.
Make sure you actually pass it.
Find Products of Elements of Big Array 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. Made for the engineer who has done the work but might still blank with a webcam pointed at him. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Find Products of Elements of Big Array interview FAQ
Why is the acceptance rate so low for this problem?+
Most candidates assume a standard product-of-array problem. The 'big array' constraint is the real blocker, it forces a non-obvious bit or modular approach. Misreading the constraint or trying brute force kills 70% of attempts.
What does 'big array' actually mean here?+
It means the array is large enough that O(n) space or naive multiplication won't work within memory or time limits. You need bit-level tricks or mathematical insight to avoid actually computing full products.
How do bit manipulation and binary search fit together in this problem?+
Bit manipulation lets you compress or extract information from products without computing them directly. Binary search validates or finds specific bit patterns or values that satisfy the constraint.
Is this still asked at IBM?+
IBM has reported this problem. It's rare overall, but if you're interviewing there, it's worth understanding the bit-level insight and why the naive product approach fails.
What's the biggest mistake candidates make here?+
Attempting a straightforward loop to compute or store products. The constraint design forces you to think differently about what the problem is really asking.
Want the actual problem statement? View "Find Products of Elements of Big Array" on LeetCode →