NTT Data Interview Experience (On-Campus)
Question Details
NTT DATA came to my college in the month of November and I was in the 7thSemester of my engineering. This company came for the selection of engineers from computer science...
Full Details
NTT DATA came to my college in the month of November and I was in the 7 th Semester of my engineering. This company came for the selection of engineers from computer science, Information technology, and Electronics and communication department only. The selection process was conducted by NTT Data for filling the requirements of the post of Information Technology Senior Associate. Eligibility Criteria:- A student with at least 60% marks in his / her 10 th and 12 th classes from any of the recognized boards of India. A minimum CGPA of 6.2 (equivalent to 70%) was required with no current backlogs at the time of the Interview. Section Process:- Round 1:- Written Examination The written test was conducted by Aspiring Minds (AMCAT). It was a simple computer-based test that includes aptitude, verbal reasoning, and logical reasoning section as it was a very general part of the company selection process. Another section that was very interesting was the Computer section which includes computer engineering and computer programming questions. These questions were related to output, string in C, operating system, computer network, software engineering, SQL, and data structure. Round 2:- GD This did not happen in our case. Round 3:- Technical Interview This round was one of the most interesting rounds because I was aware about most of the questions asked to me were related to computer science. The main focus of the interviewer was to know about my basic understanding of computer science core subjects and the whole interview was around C, DS, Algorithms, and database. He was mainly focusing on OOPs Concept with implementation logic, He also asked some networking questions related to Topology and OSI Layers at last he checked my Problem-Solving Skills by asking some puzzles and logical reasoning. After 1 hour round of Technical Interviews, candidates were again shortlisted. Round 4:- Managerial and HR Combined It was the last round of the selection process and it was about the projects and internships. I explained all the things related to my project, like my role, coding, architecture, functional and non-functional requirements, test cases, logic, database design, Web-technology, research paper related to it, and future perspective of the project for society in nearly 15 minutes. There was some behavioral question too, Overall it was an easy round.
About Ntt Data Interview Reports
This question was reported by a candidate who interviewed at Ntt Data. 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 Ntt Data are the higher-signal extractions to take from this report.
For broader preparation context, the Ntt Data 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 Ntt Data reports consistently are the ones worth investing in; one-off niche problems are not.
During Your Ntt Data 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 Ntt Data 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.