Envié una solicitud electrónica. El proceso duró 3 semanas. Acudí a una entrevista en Coforge (Greater Noida) en feb 2021
Entrevista
The interview process went like you will have 1 round comprising of Aptitude and Basic Adhoc coding questions and in 2 rounds you will have Technical and HR same time there may be one or two-person in my case there was only one. Results were out in 2-3 weeks and I applied offcampus.
Preguntas de entrevista [1]
Pregunta 1
1) Prepare your OOPS concepts.
2) Prepare your DBMS concepts and you will get to write one query in the interview.
3) Have basic knowledge of how to write code as they may ask to open notepad and write down the code.
i) Balance the parenthesis
ii) basic array manipulation and traversal.
Solicité el puesto a través de la escuela superior o la universidad. Acudí a una entrevista en Coforge (Greater Noida) en ene 2026
Entrevista
One technical and one HR round. Technical round focused on basics like resume discussion, front-end technologies, certifications, project explanation , OOPS, SQL queries, One DSA qs on Array+Hashmap.
HR round included situational and behavioral questions along with discussion on relocation and flexibility.
There are 3 round
1 aptitude and technical round
2 technical interview
3 HR round
It was an good experience and I learned a lot from this and aims to dressed up myself
Solicité el puesto a través de la escuela superior o la universidad. El proceso duró 4 semanas. Acudí a una entrevista en Coforge (Greater Noida) en jun 2025
Entrevista
My Coforge Placement Experience (Selected) 🎉
Happy to share my placement experience with Coforge.
Round 1: Aptitude, communication, and 1–2 DSA-based coding questions.
Round 2: Technical interview on DBMS, OOPs, SQL, Java, DSA, and project discussion.
Round 3: HR round focusing on self-introduction, career goals, and learning attitude.
Key Takeaways: Strong fundamentals, regular practice, clear project explanation, and confidence matter.
Preguntas de entrevista [1]
Pregunta 1
Most of the discussion was around my Machine Learning projects, including the approach, algorithms used, and real-world application.
