← Akuna Capital Interview Insights
I went straight to a hash map of adjacency sets and felt pretty good about it.
Start by clarifying requirements and defining the core data structures (e.g., a map from user ID to a set of connections). Then implement connect, disconnect, and clear with attention to bidirectional updates and edge cases. Finally, analyze complexity, discuss concurrency strategies, and outline a testing plan.
Pro tip: Emphasize thread-safety early and propose a locking strategy (e.g., fine-grained locks per user) to show you understand production concerns. Also, mention that clear should be efficient and consider memory management.
Ask about expected scale, whether connections are bidirectional, if user IDs are unique, and if operations need to be thread-safe. State any assumptions you make.
Propose a map (e.g., HashMap<UserId, Set<UserId>>) to store connections. Define methods: connect(user1, user2), disconnect(user1, user2), clear(user) or clearAll().
Describe how each method updates the data structure, ensuring bidirectional consistency. Discuss edge cases like self-connections, duplicate connections, non-existent users, and disconnecting non-connected users.
State time and space complexity for each operation (e.g., O(1) average for connect/disconnect with hash sets). Discuss concurrency: use locks (e.g., synchronized, ReentrantLock) or concurrent data structures, and consider deadlock avoidance.
Propose unit tests for normal cases, edge cases, and concurrency (e.g., stress tests with multiple threads). Include tests for clear and memory leak checks.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.