The parsing part was fine, I knocked that out fast.
Start by clarifying requirements and edge cases (e.g., nested keys, extra fields, error reporting format). Then outline a recursive validation function that traverses the schema and data, collecting errors with paths. Finally, discuss trade-offs like performance, error aggregation, and extensibility.
Pro tip: Mention that you'd separate parsing, validation, and reporting into distinct functions for testability and reusability, and consider using a schema definition format that supports nested structures (e.g., JSON Schema-like).
Ask about the expected input format, schema definition, error reporting structure, and whether validation should stop at first error or collect all errors.
Define a schema representation that supports nested keys, required fields, types, and value constraints (e.g., min/max, regex). Plan an error object that includes the key path and reason.
Write a function that traverses the schema and data recursively, checking for missing/extra keys, type mismatches, and constraint violations, accumulating errors.
Address nested keys, arrays, null/undefined values, and extra fields. Ensure error paths are clear (e.g., 'user.address.zip').
Talk about performance (e.g., early exit vs. full error collection), schema evolution, and how to extend for custom validators.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.