Cognizant
American multinational information technology services and consulting company.
4 Rounds
~21 Days
Medium
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Machine Learning Engineer
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Coding
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medium
Given two large Pandas DataFrames containing client transaction data, how would you efficiently merge them on a specific key while handling potential memory issues?
#Python
#Pandas
#Memory Management
Machine Learning Engineer
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Technical
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medium
You have a categorical feature with over 10,000 unique values (e.g., zip codes). How do you encode this feature for a tree-based model?
#Feature Engineering
#Categorical Encoding
Machine Learning Engineer
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Technical
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medium
What strategies do you use to handle missing data in a dataset provided by a client?
#Data Cleaning
#Imputation
Machine Learning Engineer
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Technical
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medium
What feature engineering techniques would you apply to a dataset containing user clickstream data to predict customer churn?
#Feature Engineering
#Time Series
#Domain Knowledge
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.