Python Interview Questions · interview question

Which practice avoids a common mistake with Graphs and Adjacency Lists?

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Do not forget whether the graph is directed, undirected, weighted, or cyclic, because the representation and traversal rules depend on that contract.Silence the Graphs and Adjacency Lists problem by using broad catches, hidden globals, or extra shared mutable state.Ignore the Graphs and Adjacency Lists issue and rely on team discipline instead of clearer APIs or invariants.Prefer the version of Graphs and Adjacency Lists that makes behavior less predictable as long as the code still runs.

Answer and explanation

Correct answer

A. Do not forget whether the graph is directed, undirected, weighted, or cyclic, because the representation and traversal rules depend on that contract.

Why

Do not forget whether the graph is directed, undirected, weighted, or cyclic, because the representation and traversal rules depend on that contract. This is a common failure mode in real Python code and a frequent interview follow-up.

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Which practice avoids a common mistake with Graphs and Adjacency Lists?

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