Nagarro Interview Experience for Trainee Technology | Off-Campus 2021
Interview Experience
Each round was an elimination round and all rounds were conducted in online mode. The platform for online assessment was Mettl and for the face-to-face interviews was MS T...
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Each round was an elimination round and all rounds were conducted in online mode. The platform for online assessment was Mettl and for the face-to-face interviews was MS Teams. Round 1(Aptitude + Technical Objective Test) Aptitude questions mainly Quant + Technical questions from data structures( graphs,tree,heaps etc) and sorting ,searching,time complexities,CS Fundamentals. There will be (25 + 15)MCQ to be solved in 60 minutes on the Mettl platform. Easy to medium difficulty. Negative marking on the wrong answer. Tips: Practice aptitude(Youtube channel like Careerride, faceprep) and CS fundamentals mainly DSA very well. Round 2(Coding Test) There will be 3 questions to be solved in 90 minutes. Number of Selective arrangements. HCF of n elements.
Return max occurence of char in input string. Practice a lot of previous year's questions. Leetcode/GfG easy to the medium of Arrays, Strings, Recursion, etc would be enough. Tips: Prepare Arrays, strings, recursion well and while preparing do think about the optimization and time and space complexities. You can practice easy to medium level questions on leetcode or hackerblocks (by coding blocks) and nagarro archives on geeksforgeeks. Round 3(Technical interview) Face to Face interview on MS Teams. Duration 15-30 min. Discussion about the coding test(Optimisation,complexity,approach) Difference between C++ and Java What are the pillars of OOPs Explain overriding and overloading. What is virtual function ? What is strings class How will you store a paragraph Explain hashing Explain Pass by val and pass by ref What is Abstract class. Find loop in Linked List. SQL : Find dept wise salary in given table. Binary Search implementation with a real-life example Tips: Prepare for a technical interview very well. Keep your basics strong and try to explain the concepts with real-life examples and not in bookish language. Try to keep it simple while explaining. Round 4(HR interview) Tell me more about yourself? What do you know about nagarro? Tell me about your family? What are all projects you have done? Explain your project? When will you be able to join? Do you have any job offers? How many interviews have you given? What was the reason for not clearing those? About technologies? Tips: Do a little research about the company and may even talk to people working there through LinkedIn or your college alumni to know about the culture and technologies. After few days I got the offer letter. You can through Important links (https://docs.google.com/spreadsheets/d/1n7R1P5XnWInTTl89GPuw0RWOsoDiAsRWRDSwLVMlWNE/edit?usp=sharing) prepared by me which might help you during your preparation. ALL THE BEST
About This Question
This is a candidate experience report from a nagarro interview for a data science role during the oa round reported in 2025.
It covers the following topics: Arrays, Strings, Linked List, Trees, Graphs, Recursion, Sorting, Binary Search, Sql .
Difficulty rating: Easy
More Nagarro Interview Questions
About Nagarro Interview Reports
This question was reported by a candidate who interviewed at Nagarro. 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 Nagarro are the higher-signal extractions to take from this report.
For broader preparation context, the Nagarro 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 Nagarro reports consistently are the ones worth investing in; one-off niche problems are not.
During Your Nagarro 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 Nagarro 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.