Trees & Graphs
A Tesla runs on graphs long before any interviewer draws one. Autopilot keeps an occupancy grid, a lattice of cells marking which patches of the world are free and which are taken. Routing to a Supercharger is a shortest path over a road graph. A vehicle even boots its software as a dependency graph, each service waiting on the ones it needs. So when a Track A screen reaches for a tree or graph problem, it lands on ground the product is built from, and the frames below lean into that where the framing stays honest.
Nearly everything in this family runs off one skeleton: a depth-first or breadth-first walk that remembers where it has been. A tree lets you drop the memory, since it has no cycles and every node has a single parent. A graph puts it back, because an edge can close a loop and two paths can arrive at the same node. Make that one distinction reflexive and most of the cluster becomes the same loop with different bookkeeping.
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