Home › Interview Questions › Companys › Cognizant
📊 Company interview intel

Cognizant

794 real questions asked by candidates interviewing for Cognizant — captured live by Assisting AI. Updated weekly.

📅 Last seen: Sep 2026 🗓️ First seen: Mar 2026 📈 Total asks: 794
794 Questions asked
Mar 2026 First seen
Sep 2026 Last seen
794 Unique questions

🥧 Difficulty mix

How hard are these questions?

794 QUESTIONS
Easy 114 (14%)Medium 559 (70%)Hard 121 (15%)

📊 Question type

Breakdown by interview phase

Conceptual 531 System Design 100 Debugging 87 Coding 33 Behavioral 22 Other 21

🔥 12-week activity

When candidates are asked these

W32W33W34W351 question in 2026-351W364 questions in 2026-364W372 questions in 2026-372W38W39W40W41W42W43

Last 12 weeks →

🏷️ Top topics

Where these questions cluster

Devops 92
Ai Machine Learning 66
Data Engineering 60
Cloud Devops 47
Databases Sql 46
Algorithms Data Structures 46
Java 40
Python 35

👤 Experience level mix

What seniority these are asked at

Fresher (0-1yr) 114Junior (1-3yr) 3Mid (3-6yr) 556Senior (6+yr) 121

📝 Recent questions

Latest 10 asked by candidates

🟡 Medium ✅

How do you use virtual nodes for load balancing to mitigate hotspots, and how does hashing user IDs to virtual nodes help spread the load across the cluster?

Virtual Nodes Load Balancing Hashing
Conceptual · Asked 1× · Sep 2026
🟡 Medium ✅

After performing a transformation, you observe a distribution where 80% of the values fall into one category and the remaining 20% are evenly distributed across other categories. What does this tell you about the data and how would you interpret it?

Data Transformation Data Distribution Statistical Analysis
Conceptual · Asked 1× · Sep 2026
🟡 Medium ✅

You explained a dynamic business‑logic model node for role management in your recommendation engine. How do you implement and manage these ORM and data models in Python?

Role Management Recommendation Engine Orm
Conceptual · Asked 1× · Sep 2026
🔴 Hard ✅

You mentioned designing a real‑time feature store using AWS Glue and Redshift for a recommendation engine. Can you explain the key design considerations and challenges you faced in that backend system?

Real‑time Feature Store Aws Glue Redshift Recommendation Engine Backend System
System Design · Asked 1× · Sep 2026
🟢 Easy ✅

Please introduce yourself.

Introduction Behavioral
Behavioral · Asked 1× · Sep 2026
🟡 Medium ✅

Are you manually managing clusters? How do you determine the number of nodes needed for a particular job? Can you describe your approach for handling data volume and cluster sizing?

Cluster Management Node Sizing Data Volume
Conceptual · Asked 1× · Sep 2026
🟡 Medium ✅

Explain how Amazon Kinesis works for real‑time data streaming and how you can run Spark code on Kinesis streams.

Kinesis Spark Real‑time Streaming
Conceptual · Asked 1× · Aug 2026
🔴 Hard ✅

When reprocessing new jobs with stored procedures, what type of architecture would you use to handle a terabyte of data?

Architecture Stored Procedures Big Data Etl
System Design · Asked 1× · Jul 2026
🟢 Easy ✅

Where should the mouse pointer or click be positioned on the interview assistant application?

Ui Ux
Conceptual · Asked 1× · Jul 2026
🟡 Medium ✅

How would you get the latest order per customer using Apache Spark?

Apache Spark Window Function Data Engineering
Conceptual · Asked 1× · Jul 2026

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

Assisting AI listens to your interview, captures questions live, and gives you instant AI-powered answers on a discreet on-screen overlay.

Get Assisting AI — Starts at ₹500