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.
This TikTok OA set focuses on core systems and algorithms concepts. For high-concurrency web servers, an event-driven architecture is the best fit because it handles many connections with low overhead. For large-scale log storage, a sharded NoSQL database is typically the strongest choice for high write throughput and horizontal scalability. In distributed file systems, client-side caching helps reduce latency and improve access speed. For page replacement, LRU is usually preferred over FIFO because it better matches locality of reference. The graph question is a standard Dijkstra shortest-path problem using a priority queue.
