Question
In Python, which comparison about Graphs and Adjacency Lists is accurate?
- There is no practical difference in behavior, performance, or maintainability when Graphs and Adjacency Lists is involved.
- The oldest option related to Graphs and Adjacency Lists is always the right production choice regardless of workload or context.
- Differences around Graphs and Adjacency Lists are mostly cosmetic, so correctness and debugging quality do not really change.
- Adjacency lists are space-efficient for sparse graphs, while adjacency matrices trade more memory for constant-time edge existence checks.
Hint
Focus on the behavior or tradeoff, not just the keyword.
Answer and rationale
Correct answer: D. Adjacency lists are space-efficient for sparse graphs, while adjacency matrices trade more memory for constant-time edge existence checks.
Adjacency lists are space-efficient for sparse graphs, while adjacency matrices trade more memory for constant-time edge existence checks. This is the comparison that usually separates memorization from understanding.
Track: Python