Sample Answer
I start by analyzing the model's architecture and data preprocessing techniques. Then, I look into hyperparameter tuning, using tools like TensorBoard. I also consider techniques like batch normalization, dropout, and using advanced optimizers. Regular cross-validation helps ensure the model generalizes well.
Keywords
In your civil engineering studies, what specific design coursework or project work did you complete related to irrigation channels or canals (e.g., design of lined/unlined canals, distributaries, minors)? Describe one such design in detail, including how you determined discharge, permissible velocity, section dimensions, and lining choice for Gujarat-type soil and climate conditions.
Based on your hydrology and irrigation engineering background, explain how you would estimate the irrigation water requirement for a kharif crop in a semi-arid region of Gujarat. Walk me through each step: from reference evapotranspiration estimation, crop coefficient selection, effective rainfall calculation, to arriving at canal discharge for a given command area.
Describe in detail how you typically organize and architect a mid-sized React (or similar framework) codebase for a multi-page product (e.g., routing, state management, reusable components, and API integration). What trade-offs do you consider?
On your resume, you mention working with [specific technology/tool listed on their resume]. Can you describe a concrete example of how you used it end‑to‑end on a project, including the problem, your implementation choices, and the outcome?
Walk me through how you’ve previously structured and optimized a Google Ads or Meta Ads account with multiple products or audiences. How did you handle campaign/ad set segmentation, keyword or audience strategy, and budget allocation, and what key metrics did you monitor daily vs. weekly?