Binary Search
A easy-tier problem at 60% community acceptance, tagged with Array, Binary Search. Reported in interviews at Wipro and 6 others.
Binary Search is the easiest problem most candidates will mess up in their assessment. It's marked EASY, yet the acceptance rate sits at around 60 percent, meaning four out of ten people who attempt it fail. Wipro, Cognizant, EPAM Systems, Infosys, Accenture, Zoho, and TCS all ask it. The trick isn't algorithmic complexity, it's the boundary conditions: off-by-one errors in your left and right pointers kill submissions silently. If you blank on the indexing logic during your live OA, StealthCoder surfaces a working template in seconds, invisible to the proctor.
Companies that ask "Binary Search"
Binary Search 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 by a working Amazon engineer who got tired of watching qualified friends bomb OAs they'd solve cold in an IDE.
Get StealthCoderThe pattern is deceptively simple: divide a sorted array in half, eliminate the half that can't contain your target, repeat. Most failures come from sloppy boundary handling. Candidates either use mid = (left + right) / 2 and cause integer overflow (in some languages), or they get confused about whether mid is included in the next search or excluded. The recursive version feels cleaner but can stack-overflow on huge inputs. The iterative version with careful pointer logic is safer. Common pitfall: assuming a single correct loop condition works for all edge cases, like searching for a non-existent element or handling duplicates. StealthCoder is the hedge if you second-guess your bounds logic during the actual assessment.
Pattern tags
You know the problem.
Make sure you actually pass it.
Binary Search recycles across companies for a reason. It's easy-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 by a working Amazon engineer who got tired of watching qualified friends bomb OAs they'd solve cold in an IDE. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Binary Search interview FAQ
Why does Binary Search have such a low acceptance rate if it's marked EASY?+
The algorithm is simple, but edge cases are brutal. Off-by-one errors in your left/right pointers, wrong mid calculation, or incorrect loop termination silently fail test cases. Candidates often pass the happy path and bomb on boundary checks or missing targets.
Is Binary Search still asked at major tech companies?+
Yes. Seven companies in the data, including Wipro, Cognizant, EPAM Systems, Infosys, Accenture, Zoho, and TCS all report it. It's a baseline competency check. Expect it in early-round assessments and phone screens.
Should I code it iteratively or recursively?+
Iterative is safer for production code and interviews. It avoids stack overhead and is easier to debug boundary logic on the fly. Recursion is elegant but harder to get right under time pressure, especially with pointer management.
What's the most common mistake candidates make?+
Incorrect mid calculation (integer overflow or wrong bounds) and wrong loop termination condition. Many candidates use left < right but then don't handle the final comparison after the loop exits, missing the target element entirely.
How does Binary Search relate to the Array topic?+
Binary Search requires a sorted array as input. You're not building the array, but understanding array indexing and pointer arithmetic is critical. The problem tests whether you can efficiently query a static data structure.
Want the actual problem statement? View "Binary Search" on LeetCode →