Akosha Interview Questions (2026)
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Akosha Interview Experience
Interview Experience
I recently got a call from Akosha Bangalore for on-site interview. This Interview had three round, two technical and one manager round.
Round 1 Written Test : 30 Min 20 MCQ Two programming questions : only one need to attend Find Maximum area in Boolean matrix (0/1).
Solution: https://www.geeksforgeeks.org/dsa/largest-rectangular-area-in-a-histogram-using-stack/ I forget second one, but it was on List of List ( very lame question, I did not like the question so I did not solve it)
Round 2
Technical Interview 1 hour 30 Min This round totally focused on technical knowledge including data structure, algorithms, web services, Protocols etc. Discussion on recent project in detail Role and responsibility in recent project *Linked list random pointer problem: https://www.geeksforgeeks.org/dsa/a-linked-list-with-next-and-arbit-pointer/ * Restful apis discussion, design etc. * HTTP protocol discussion * GET/POST/PUT/DELETE methods discussion * Difference between POST/GET and POST/PUT when to use what * (interesting question) You have a rest api for Post method, Suppose you embedded this api in your application and this api usually takes 2 hour to respond back . How will you handle this situation? -- Lots of discussion were done on timeout, sync call, aysnc call etc But I was not able to give what he was seeking to.
Round 3
Manager Round 1 hour 30 Min * General behavioral questions * Why you want to leave ur current company so early * What you liked so far in development etc I got the offer from company but they were paying sameas what I’m getting currently. More over HR is very bad, she has no sense of talking. After few days I reject the offer (due to their bad behavior, they call me 2’s in a day(7-8 days) from different sources just to say resign asap) I would to say thanks to Geeksforgeek for such a wonderful platform for tech guys.
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Akosha Interview Process Overview
The Akosha interview process typically includes a recruiter screen, one to two technical phone screens, and a 4-6 round on-site or virtual on-site loop. Each round serves a distinct calibration purpose: coding rounds measure correctness, code quality, and complexity reasoning; system design rounds measure architectural judgment at the appropriate level; behavioral rounds measure ownership, leadership scope, and collaboration. Reports tagged on LeakCode from 2024-2026 show Akosha runs a calibrated process consistent with industry norms for companies of its tier.
Difficulty calibration: Akosha coding rounds typically run medium difficulty with follow-up depth as the senior discriminator. System design rounds expect production-grade trade-off articulation at L4+ levels. Behavioral rounds expect quantified outcomes ("reduced p99 latency from 800ms to 120ms") rather than vague impact claims. The candidates who advance consistently demonstrate clear thinking out loud rather than perfect final answers.
How To Use Akosha Question Reports
Real candidate-reported interview questions are a calibration tool, not a memorization target. Akosha updates its question pool every 2-4 months; memorizing exact problems risks misleading you when the interviewer uses a variant. The high-leverage approach: identify the patterns that appear repeatedly in Akosha reports, practice those patterns on similar (not identical) problems, and use the reports to understand the interviewer's typical follow-up depth.
Filter the questions above by round type, difficulty, and recency. Focus first on reports from the past 6-12 months; older reports may reference questions that have since rotated out of Akosha's pool. Reports tagged with quantified difficulty and explicit round type are higher-signal than reports without those tags. The metadata filters help you build a focused study plan in 1-2 hours rather than 8-10 hours of unstructured browsing.
Common Akosha Interview Mistakes
Reports tagged "no hire" at Akosha consistently surface a few patterns: jumping into code without clarifying requirements, coding silently for extended periods, missing edge cases (empty input, single element, large input, overflow), producing working code the candidate cannot refactor when probed, and behavioral stories that use "we" instead of "I" diluting individual signal. Strong candidates explicitly avoid these patterns by following a consistent round template.
The single most predictive failure mode in recent reports: not asking clarifying questions. Interviewers are explicitly trained to weight this dimension. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into implementation immediately. Strong candidates also verbalize their approach before writing code; weak candidates code in silence and lose the communication dimension of the round's calibration.