Caching Strategies and In Memory Storage Questions
Understanding caching mechanisms (HTTP caching, application-level caching with Redis/Memcached). Cache invalidation strategies, TTL, and when to cache. Performance implications.
EasyTechnical
76 practiced
List common caching pitfalls specific to mobile development (examples: unbounded caches causing OOM, storing sensitive data unencrypted, ignoring OS cache eviction, stale data after writes). For each pitfall describe how to detect it during testing and one practical mitigation.
MediumTechnical
60 practiced
Write a custom OkHttp Interceptor (pseudocode or Kotlin) for Android that implements offline-first behavior: when offline serve cached responses up to a configuration-staleness (e.g., max-stale 7 days); when online prefer fresh responses but fall back to cache on failure. Include cache-control header adjustments.
HardTechnical
59 practiced
Design a cache warming and prefetching strategy to reduce cold-start latency for your mobile app. Your plan should include heuristics for which resources to warm (based on past user behavior), safe background prefetch timing and throttling to mitigate battery impact, privacy considerations, and how to measure effectiveness without intrusive telemetry.
MediumSystem Design
49 practiced
Design a Redis-based caching architecture that supports per-user personalized data for a mobile application with 5 million daily active users and strict latency targets (<50ms for cache hits). Address key design (namespacing), sharding/partitioning, eviction strategy, memory optimization, replication and failover, and how the mobile app should fall back when a cache miss or cache outage occurs.
EasyTechnical
51 practiced
Describe how common HTTP caching headers (Cache-Control, ETag, Last-Modified, Expires) affect caching behavior in a mobile app. Provide example header values and explain how a mobile client should handle conditional GETs (If-None-Match, If-Modified-Since) and 304 Not Modified responses to minimize data transfer.
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