Rate Limiting Strategies Quiz

What you'll be asked

1. Which rate limiting algorithm allows for a 'burst' of traffic while maintaining a strict average request rate over time?
2. In a distributed GenAI system, why is a centralized store like Redis often used for rate limiting?
3. When implementing rate limiting for an LLM-based application, why is 'Token Count' often a more appropriate metric than 'Requests per Second (RPS)'?
4. You notice that your rate limiter is experiencing a 'boundary condition' issue where users can double their allowed request quota by sending requests right at the edge of the fixed window reset time. Which algorithm is best suited to eliminate this issue?
5. When implementing a distributed rate limiter using Redis, which operation is critical to ensure atomicity and prevent race conditions when updating the request counter?

Answers and explanations come after you submit.