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Yes, interval-based problems are common in coding interviews at FAANG and similar companies. Variations involving merging, scheduling, and custom constraints frequently appear because they test sorting, greedy reasoning, and edge-case handling.
Arrays or lists are usually sufficient to store intervals, combined with sorting utilities. During traversal, a few variables or a stack-like structure may be used to maintain the active interval or track merges.
The optimal approach typically involves sorting the intervals and then scanning them using a sweep or greedy technique. By processing intervals in sorted order, you can efficiently apply the custom rule while maintaining or updating a current interval state.
Sorting ensures intervals are processed in chronological or numerical order. This makes it easier to detect overlaps, apply merging logic, and maintain a consistent state without repeatedly checking earlier intervals.