Evaluate an Application Design Considering Latency and Rate Limiting 350-901 Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which of the following is an example of an I/O delay that can affect application latency?

   • ATime for a packet to traverse a router
   • BTime for the CPU to execute a sorting algorithm
   • CTime spent waiting for a database query to return results
   • DTime for a DNS query to resolve a domain name
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   When evaluating the impact of latency on application design, which of the following is a common source of processing delay?

   • APropagation delay over fiber optic cable
   • BDisk seek time for reading a file
   • CCPU computation time
   • DQueuing delay at a network switch
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A company exposes a public API that is consumed by multiple third-party partners. To ensure fair usage, the API must limit each partner to 100 requests per minute. A partner is exceeding this limit and causing degraded performance for other partners. Which server-side rate limiting strategy should be implemented to enforce this limit per partner?

   • AAsk the partner to implement client-side throttling and trust them to comply.
   • BRate limit based on the source IP address of the incoming requests.
   • CImplement a global token bucket for all partners with a capacity of 100 tokens per minute.
   • DImplement a fixed window counter keyed by the partner's API key, allowing 100 requests per minute.
   Reveal Solution Discussion Select an answer first
5. 9expert · hard

   A team is designing a service that aggregates data from multiple upstream APIs. One upstream API is slow (500 ms) but has a high rate limit, while another is fast (50 ms) but has a strict rate limit. The service must minimize the overall response time for a user request that needs data from both APIs. Which approach best balances latency and rate limiting?

   • ACall both APIs concurrently, but implement client-side rate limiting for the fast API to avoid hitting its limit.
   • BIncrease the rate limit of the fast API by contacting the provider and requesting a higher limit.
   • CCache the response from the fast API to reduce the number of calls, and call the slow API every time.
   • DCall the slow API first, then call the fast API sequentially to ensure the rate limit is not exceeded.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A company's API is experiencing high latency during peak hours because a single client is sending a large number of requests. The API is deployed on a single server. Which change would most directly address the latency caused by this client's behavior?

   • AMove the API to a serverless platform to automatically scale with demand.
   • BAdd a CDN to cache API responses and reduce the load on the server.
   • CImplement server-side rate limiting to restrict the number of requests from a single client.
   • DIncrease the server's CPU and memory resources to handle more requests.
   Reveal Solution Discussion Select an answer first