echnology: Introduction – Brief about yourself and your background. SQL Questions: What is indexing and how does it work? What are the basic properties of a database (ACID)? What are normal forms? What are types of encoding in SQL or ML? Python/ML Questions: What classification and regression models have you used? Explain Random Forest and how it handles overfitting. What is sparse data, and why is mean not suitable with outliers? How do you centralize the overfitting problem? Applied ML Questions: Describe your AIML projects in detail. What kind of models did you use and why? Conceptual: If a categorical feature has order, which encoding would you use?