JavaScript Interview Questions
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Q121
How do you implement a singleton pattern in JavaScript?
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Q122
How do you optimize database queries using JDBC and MySQL?
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Q123
Can you describe your experience with full-stack web development and how you contributed to the project delivery efficiency at Calanjiyam Consultancies and Technologies?
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Q124
How do you approach problem-solving when working with complex databases like MySQL and MongoDB?
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Q125
How do you handle team collaboration and communication when working on a full-stack web development project?
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Q126
Can you describe your experience with React and Next.js and how you used them to develop a functional Student Management System?
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Q127
How do you approach system design when working with complex databases like MySQL and MongoDB?
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Q128
Can you explain the concept of database normalization and how you used it in your project?
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Q129
How do you handle scalability and performance issues when working with full-stack web development projects?
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Q130
Can you describe your experience with Git and GitHub and how you used them to manage version control in your project?
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Q131
How do you approach testing and debugging when working with complex databases like MySQL and MongoDB?
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Q132
Can you explain the concept of database indexing and how you used it in your project?
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Q133
Can you explain the concept of data preprocessing in data science and how it impacts the accuracy of machine learning models?
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Q134
How would you handle missing values in a dataset and what techniques would you use to impute them?
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Q135
Can you implement a simple text classification model using Python and its libraries to classify text as spam or not spam?
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Q136
How would you optimize the performance of a machine learning model using techniques such as hyperparameter tuning and feature selection?
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Q137
Can you explain the concept of overfitting in machine learning and how to prevent it?
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Q138
How would you design a recommendation system using collaborative filtering and matrix factorization?
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Q139
Can you implement a simple clustering algorithm using Python and its libraries to group similar data points together?
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Q140
How would you handle outliers in a dataset and what techniques would you use to detect and remove them?
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