Rest API - Rate Limiting and ThrottlingHow can you combine graceful degradation with caching to improve REST API reliability?AServe cached partial data when live data fetch fails, with 206 statusBAlways serve cached full data with 200 status, ignoring live failuresCDisable caching to avoid stale data during degradationDReturn HTTP 500 errors when cache is emptyCheck Answer
Step-by-Step SolutionSolution:Step 1: Understand caching role in graceful degradationCaching can provide fallback data when live fetch fails, improving reliability.Step 2: Combine caching with partial success signalingServing cached partial data with 206 status informs clients of degraded but usable data.Final Answer:Serve cached partial data when live data fetch fails, with 206 status -> Option AQuick Check:Caching + 206 status = reliable graceful degradation [OK]Quick Trick: Use cached partial data with 206 status on failures [OK]Common Mistakes:Serving cached full data hides failuresDisabling cache reduces availabilityReturning 500 errors on empty cache breaks graceful degradation
Master "Rate Limiting and Throttling" in Rest API9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallTime
More Rest API Quizzes Authentication and Authorization - Token refresh mechanism - Quiz 3easy Authentication and Authorization - Basic authentication - Quiz 12easy Error Handling - Problem Details (RFC 7807) format - Quiz 14medium Error Handling - Why consistent errors help developers - Quiz 9hard Error Handling - Nested error reporting - Quiz 3easy HATEOAS and Linking - HAL format overview - Quiz 2easy Pagination Patterns - Cursor-based pagination - Quiz 1easy Pagination Patterns - Link headers for navigation - Quiz 9hard Pagination Patterns - Why pagination manages large datasets - Quiz 11easy Versioning Strategies - Query parameter versioning - Quiz 12easy