MAQ Software Interview Experience (Campus Placement 2019)
Question Details
MAQ Softwares want engineers who are active competetive coders, and a good coding experience.Round 1:This was a online round and consist 30 MCQ'S questions related to quan...
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MAQ Softwares want engineers who are active competetive coders, and a good coding experience.
Round 1 This was a online round and consist 30 MCQ'S questions related to quantitative aptitude and reasoning. Its was easy for an engineer to solve it. And had 4 coding questions. Coding questions was very simple like :- Find the Nth term of Fibonacci series or math questions. You need to solve all coding question's if you want to get select to for
next round.
Round 2 This was a Skype Round/Technical Round. Interviewer was helpful, asked logical questions. One of the problem was https://www.geeksforgeeks.org/aptitude/puzzle-set-35-2-eggs-and-100-floors/ .First asked solution for infinite eggs and then for 2 eggs. He asked about data structure/algorithm problems and OOP concepts. Interviewer also asked to code for printing all combinations and permutation for n lights (on/off).
Round 3 This was in our Campus. Interviewer asked to design use cases, problems, ways used to design ATM machine.Interviewer also asked about my projects, also talked about the company work/life balance.(You must have seen glassdoor reviews :) )
Round 4 Interviewer asked 1 logical question and 1 coding question. After this round he told me you are selected and we will reach to you for further steps and also gave me two books written by MAQ founder Rajeev Agarwal. Book 1 – What I did not learn in IIT. Book 2- What I did not learn in B-School.
About This Question
This is a reported interview question from a maq software interview for a data science role during the phone screen round reported in 2025.
It covers the following topics: Oop, Backtracking, Math .
Difficulty rating: Easy
Topics
More Maq Software Interview Questions
About Maq Software Interview Reports
This question was reported by a candidate who interviewed at Maq Software. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.
Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at Maq Software are the higher-signal extractions to take from this report.
For broader preparation context, the Maq Software interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.
How To Practice This Type of Question
Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.
Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in Maq Software reports consistently are the ones worth investing in; one-off niche problems are not.
During Your Maq Software Round
Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.
The single most predictive failure mode in Maq Software reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.