The whole question is the representation: store only the nonzeros as index→value, then either two-pointer over sorted indices or hash-join. The follow-up that decides the design is what happens when one vector is dense.
Compute the dot product of two sparse vectors.
The whole question is the representation: store only the nonzeros as index→value, then either two-pointer over sorted indices or hash-join. The follow-up that decides the design is what happens when one vector is dense.
Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.
This is a representation question wearing a math question's clothes. Interviewers want you to reject the dense array immediately (the vectors are 'sparse' for a reason), pick index->value pairs, and then defend two-pointer vs hashmap. The two-pointer answer is O(n+m) with no hashing overhead when both are sorted; the hashmap shines on the real follow-up, when one vector is huge and dense so you should iterate the small one and look up the big one.
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