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Problems involving ticket tracking, itinerary reconstruction, or status propagation are common in technical interviews, including FAANG-style companies. They test your ability to model relationships using graphs or hash-based structures.
Hash maps are commonly used because they provide constant-time lookups for ticket relationships or statuses. In more complex variations, graphs or priority queues may also help manage ordering or dependencies.
The optimal approach typically relies on efficient lookups using hash maps or structured mappings between tickets. By preprocessing relationships and avoiding repeated scans, the problem can often be solved in linear or near-linear time.
The difficulty usually comes from handling multiple dependencies between tickets and ensuring the correct order of processing. Efficient data structures and careful state tracking are required to avoid unnecessary recomputation.