Reach for a linked list when you reshape more than you index. If you constantly insert and remove at points you already hold, its O(1) splicing wins. Queues, playlists, and edit histories fit this shape.
It also helps when size is unpredictable. A linked list grows one node at a time, with no big block to reserve or copy. You never pay a resize that duplicates the whole collection.
Skip it when you need fast access by position. Arrays give O(1) indexing and pack tightly in memory, so the processor's cache serves them quickly. If you mostly read by index, an array almost always wins.
Rewriting in plainer words…
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I'd pick a linked list when the work is mostly reshaping the collection, inserting and removing, rather than reading by position.
If I already hold a pointer to the spot, splicing a node in or out is O(1), with no elements shifted. Queues, playlists and edit histories work that way.
It also helps when I can't predict the size, because the list grows one node at a time and never copies the whole collection during a resize.
The catch is access by position. Getting the i-th element means walking i nodes from the head, while an array jumps straight there in O(1).
Arrays also pack elements together in memory, so the cache serves them fast. If most of my reads are by index, I'd use an array almost every time.
Weak answers to avoid
Says linked list inserts are always O(1)Only the splice is O(1). Finding the position is an O(n) walk, so say the win needs a pointer you already hold.
Ignores cache localityBig-O alone misses why arrays usually win in practice. Say that contiguous memory is cache friendly and that every list hop can miss the cache.
Claims arrays can't growDynamic arrays grow with amortized O(1) appends. The real point is that a list never copies the whole collection in one resize.
Recites definitions with no use caseThe question asks when. Name a workload, like a queue or an edit history, and tie it to the operation that runs most often.
Interview lens
Likely follow-ups, what you can say, and the weak answers to avoid.