Evaluate an Application Design Considering Latency and Rate Limiting 350-901 Practice Questions (Page 5)

Questions 21–25

1. 21expert · hard

   A team is designing a real-time analytics dashboard that displays metrics from a backend service. The backend service can handle 100 requests per second, but the dashboard needs to update every second for 1000 concurrent users. The team is considering caching the metrics for 5 seconds to reduce the load on the backend. Which trade-off is most critical to evaluate?

   • ACaching will increase the complexity of the system, making it harder to maintain.
   • BCaching will cause the backend to receive fewer requests, which may lead to underutilization of resources.
   • CCaching will require additional memory, which may increase the cost of the infrastructure.
   • DThe dashboard will show data that is up to 5 seconds old, which may be unacceptable for real-time monitoring.
   Reveal Solution Discussion Select an answer first
2. 22expert · hard

   A team is designing a public API that serves real-time stock quotes. The API must be highly available and responsive, but the upstream data provider has a hard limit of 100 requests per second. The team wants to cache the quotes for 1 second to reduce the number of upstream calls. Which trade-off is most important to consider?

   • ACaching will increase the latency of the API because the cache lookup adds an extra network round trip.
   • BCaching will cause the API to return 429 errors more frequently because the cache will be overwhelmed.
   • CCaching introduces up to 1 second of staleness, which may be unacceptable for traders who need the most current price.
   • DCaching will require a complex distributed cache setup that is not worth the effort for a simple API.
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4. 23foundation · easy

   What is the primary purpose of rate limiting in an application?

   • ATo control the rate of requests to protect system resources and ensure fair usage
   • BTo cache responses to reduce latency
   • CTo encrypt data in transit between client and server
   • DTo authenticate users and authorize access to resources
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5. 24foundation · easy

   Which rate limiting algorithm allows a burst of requests up to a maximum capacity, while maintaining a steady average rate over time?

   • AToken bucket
   • BFixed window
   • CLeaky bucket
   • DSliding log
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6. 25application · medium

   A company's e-commerce website serves product images that are large and take a long time to load on mobile devices. The images are stored in a cloud storage bucket and served directly to users. Which design change would most effectively reduce the load time for these images?

   • AUse a CDN to cache the images at edge locations and serve them from the closest edge to the user.
   • BCompress the images using a lossy compression algorithm to reduce their file size.
   • CIncrease the bandwidth of the cloud storage bucket to allow faster downloads.
   • DMove the images to a different cloud storage bucket in a region closer to the majority of users.
   Reveal Solution Discussion Select an answer first