← ElevenLabs Interview Insights
The timestamp angle is what tripped me up at first.
Clarify the data model and requirements first, then design a solution that reconstructs the permission state at the given timestamp by processing only relevant changes. Use a tree traversal from the file up to the root, applying the most recent permission rule at each level, and handle overrides and group memberships efficiently.
Pro tip: Mention that you would preprocess permission changes into a timeline per node and use binary search to find the effective rule at the query time, turning a potentially O(N) scan into O(log N) per node. Also note that caching or memoizing results for repeated queries can be a practical optimization in production.
Ask about the data model: how permissions are stored (per folder, per user/group), how timestamps are represented, and whether group memberships also change over time. Confirm that access is determined by the most specific rule (file-level overrides folder-level) and that deny takes precedence over allow if both apply.
Represent the file system as a tree where each node stores a list of permission change events sorted by timestamp. Each event includes the user/group, allow/deny, and timestamp. Also maintain a mapping of users to groups (with time ranges if memberships change).
For the given file and timestamp, traverse from the file node up to the root. At each node, find the most recent permission event affecting the user (directly or via groups) using binary search on the sorted events. Collect these effective rules.
Apply the rules from the most specific (file) to least specific (root). The first rule that matches the user (directly or via group) determines access, unless a deny rule at a higher level overrides? Actually, typical semantics: the most specific rule wins; if none, default deny. Explain your chosen precedence and justify it.
Discuss time complexity: O(depth * log(events per node)) with binary search, or O(depth * events) if scanning. Mention space-time trade-offs, such as precomputing effective permissions per user at each timestamp (expensive) vs. on-the-fly computation. Suggest caching for repeated queries.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.