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The core logic wasn't hard but I fumbled the error handling part.
Start by clarifying requirements and constraints, then propose a data model and API design that handles CRUD operations with clear return types and error conditions. Emphasize trade-offs between different data structures and error handling strategies, and discuss how to ensure uniqueness and ordering.
Pro tip: Demonstrate maturity by discussing idempotency and concurrency: e.g., how to handle duplicate adds in a distributed system, and whether updates should be idempotent. Also, consider using a unique identifier separate from the name to allow renaming.
Ask about expected scale, persistence needs, and whether names can be changed. Confirm that recipes are uniquely identified by name and that ingredients and steps are ordered.
Propose a Recipe class/struct with fields: name (string, unique), ingredients (list of strings), steps (ordered list of strings). Consider using a map from name to Recipe for O(1) access.
For add: return boolean or Result type indicating success/failure. For update: return boolean or updated Recipe. For delete: return boolean. Specify error conditions: duplicate add returns false or throws DuplicateRecipeException; missing name on update/delete returns false or throws RecipeNotFoundException.
Decide on error handling strategy: exceptions vs. return codes. Discuss trade-offs: exceptions for exceptional cases, return codes for expected failures. Ensure duplicate adds are rejected and missing names are handled gracefully.
Talk about concurrency (locking, optimistic concurrency), persistence (database schema with unique constraint on name), and scalability (sharding by name). Mention idempotency and whether operations should be idempotent.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.