1. Handling High Concurrency in Web Server
Your web server at TikTok needs to handle a high number of concurrent connections efficiently. Which server architecture would best support high concurrency?
Pick ONE option:
- Multi-threaded server
- Event-driven server
- Forking server
- Single-threaded server
2. Handling Large-scale Log Data
You need to design a system for processing and storing large-scale log data generated by various TikTok services. The system should support high write throughput and efficient querying. Which storage strategy would be most effective for this use case?
Pick ONE option:
- Relational database with indexing
- NoSQL database with sharding
- Distributed file system with replication
- In-memory database
3. Network File System Performance
Your team is designing a network file system for TikTok that must support high-speed access and minimal latency for distributed file access. Which of the following features would be most beneficial for achieving these performance goals?
Pick ONE option:
- Client-side caching
- Server-side compression
- Encrypted file transmission
- Synchronous replication
4. Handling Page Faults in a High-Performance Application
Your high-performance application frequently accesses a large dataset, and page faults can severely degrade performance. Efficient handling of page faults is crucial. Which page replacement algorithm would be most suitable for minimizing page faults in this scenario?
Pick ONE option:
- First-In, First-Out (FIFO)
- Least Recently Used (LRU)
- Optimal Page Replacement
- Clock Algorithm
5. TikTok Communication Network
TikTok represents its communication network as a weighted graph. Write a pseudo-code to find the shortest path between two nodes using Dijkstra’s algorithm.
distances = {}
for each node in graph
distances[node] = Infinity
distances[startNode] = 0
priorityQueue = new PriorityQueue()
priorityQueue.enqueue(startNode, 0)
while not priorityQueue.isEmpty()
current = priorityQueue.dequeue()
for each neighbor in current.neighbors
distance = distances[current] + current.getEdgeWeight(neighbor)
if distance < distances[neighbor]
distances[neighbor] = distance
priorityQueue.enqueue(neighbor, distance)
return distances[endNode]6. Sample content watch-time case
Given m, initialWatch[], and repeatWatch[], compute the total time according to the sample strategy shown in the examples.
这组 TikTok OA 题目覆盖了系统设计与基础算法的多个高频考点：高并发 Web Server 更适合事件驱动架构，因为它能以更低的线程 / 进程开销同时处理大量连接；大规模日志数据通常选用支持分片的 NoSQL 数据库，以兼顾高写入吞吐和水平扩展；分布式文件系统场景下，客户端缓存能显著降低访问延迟；页替换问题中，LRU 通常比 FIFO 更贴近局部性原理，能减少缺页次数；而图最短路则是 Dijkstra 的经典应用，使用优先队列维护当前最短距离即可。
