Clarifying Ambiguity and Requirements Questions

Tests the candidate's ability to handle unclear problem statements by asking the right clarifying questions and explicitly stating assumptions. Candidates should be comfortable enumerating input and output formats, data ranges and limits, expected edge cases such as duplicates or empty inputs, performance constraints, and tie breakers for ambiguous results. Good answers demonstrate a structured set of questions, prioritized assumptions when answers are not available, and validation strategies to reduce risk from ambiguous requirements.