How do I approach Data Manipulation (SQL/Python) interview questions?

Data Manipulation (SQL/Python) questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master data manipulation (sql/python) interviews.

What difficulty level is this interview question?

This is a Medium difficulty Data Manipulation (SQL/Python) question, commonly asked during Onsite rounds at NVIDIA.

What role is this question designed for?

This question is commonly asked for Software Engineer candidates at NVIDIA during technical interviews.

Parse a deeply nested JSON

Last updated: Mar 29, 2026

Quick Overview

This question evaluates proficiency in parsing and traversing deeply nested JSON structures, handling missing keys, distinguishing arrays from objects, extracting specified fields, and comparing recursive versus iterative traversal strategies.

Medium
NVIDIA
Data Manipulation (SQL/Python)
Software Engineer

NVIDIA

Aug 7, 2025, 12:00 AM

Software Engineer

Onsite

Data Manipulation (SQL/Python)

Given a JSON document with approximately five levels of nesting, write code to traverse it and extract specified fields while handling missing keys, arrays vs. objects, and unknown nesting depth. Compare recursive and iterative approaches, discuss complexity, and outline robust error handling and schema validation strategies.

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