The problem sounds manageable until you realize the bugs are subtle and the config parsing rules matter a lot.
First, clarify the requirements and constraints, then systematically debug the code by tracing through the logic for enabling features, resolving dependencies, and detecting cycles. Propose a clean solution using graph algorithms (topological sort, DFS) and validate with test cases covering edge cases.
Pro tip: Demonstrate a structured debugging process: start by writing a failing test case that reproduces the bug, then fix the code incrementally. This shows maturity and a methodical approach that Google values.
Restate the problem in your own words, identify inputs/outputs, and clarify constraints such as country and OS version filtering, dependency resolution, and cycle detection.
Review the code to pinpoint issues: incorrect filtering logic, missing transitive dependency resolution, or flawed cycle detection. Use examples to trace the execution.
Outline a solution: build a dependency graph, filter features by constraints, perform topological sort or DFS to resolve dependencies, and detect cycles using visited states.
Write clean code for the algorithm, then test with cases including no dependencies, multiple dependencies, cycles, and constraint combinations.
Explain time/space complexity, potential optimizations, and how your solution handles edge cases like missing dependencies or conflicting constraints.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.