ITC Infotech Interview Questions (With Answers)

535 Questions asked

Mar 2026 First seen

Sep 2026 Last seen

535 Unique questions

🥧 Difficulty mix

How hard are these questions?

Easy 78 (15%)Medium 369 (69%)Hard 88 (16%)

📊 Question type

Breakdown by interview phase

🔥 12-week activity

When candidates are asked these

Last 12 weeks →

🏷️ Top topics

Where these questions cluster

Devops 49

Ai Machine Learning 46

Cloud Devops 43

Databases Sql 38

Data Engineering 37

Java 27

Frontend 26

Algorithms Data Structures 26

👤 Experience level mix

What seniority these are asked at

Fresher (0-1yr) 76Junior (1-3yr) 6Mid (3-6yr) 365Senior (6+yr) 88

📝 Recent questions

Latest 10 asked by candidates

🟡 Medium ✅

You described a sophisticated validation system using a graph. How do you handle prompt updates or improvements without disrupting ongoing workflow performance?

Validation System Graph Workflow

Conceptual · Asked 1× · Sep 2026

🟡 Medium ✅

How did you ensure that AI features remain consistent and reliable during model training and inference, especially with evolving data schemas and streaming data?

Schema Evolution Late Events Feature Store Model Training Inference

Conceptual · Asked 1× · Sep 2026

🔴 Hard ✅

We have a customer with transactional data in PostgreSQL. They want to run analytical use cases in Snowflake and publish incremental data daily. How would you design the solution to ingest only incremental data each day?

Postgresql Snowflake Data Pipeline Incremental Load

System Design · Asked 1× · Sep 2026

🟢 Easy ✅

Tell me about yourself.

Behavioral Interview Self-introduction

Behavioral · Asked 1× · Aug 2026

🟡 Medium ✅

Tell me about a project where you had to purchase 300 US land units in your EWS or PI stock.

Project Management Business Analysis

Behavioral · Asked 1× · Jul 2026

🟢 Easy ✅

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🥧 Difficulty mix

📊 Question type

🔥 12-week activity

🏷️ Top topics

👤 Experience level mix

📝 Recent questions

You described a sophisticated validation system using a graph. How do you handle prompt updates or improvements without disrupting ongoing workflow performance?

How did you ensure that AI features remain consistent and reliable during model training and inference, especially with evolving data schemas and streaming data?

We have a customer with transactional data in PostgreSQL. They want to run analytical use cases in Snowflake and publish incremental data daily. How would you design the solution to ingest only incremental data each day?

Tell me about yourself.

Tell me about a project where you had to purchase 300 US land units in your EWS or PI stock.

Have you worked on agile projects using Kanban?

How can you improve the performance of a system that uses Python pathlib?

How would you monitor and alert on failures involving builder?

How would you implement or configure revert in a production environment?

How would you test a component that depends on CSS box model?

🎤 Want these answered in real-time during your interview?