ApexAdvancedplatform-cacheperformancecaching
Implement platform caching for expensive Apex computations
Real World Scenario
Dashboard LWC calls Apex aggregating 50k child records on every page load causing timeouts.
Expected Answer
• Org cache partition for cross-user reference data; session cache for user-specific
• Cache keys namespaced by object version or lastModified timestamp for invalidation
• TTL aligned to business tolerance for stale aggregates
• Warm cache via scheduled job after nightly ETL completes
• Fallback to live query on cache miss with graceful degradation message
• Monitor cache hit ratio and partition capacity limits
• Do not cache user-specific PII in org cache accessible broadly
Follow-Up Questions & Answers
Click to expand — each follow-up includes a direct, interview-ready answer
Main difference: use case and scale. Org cache partition for cross-user reference data; session cache for user-specific. Cache keys namespaced by object version or lastModified timestamp for invalidation. Pick based on your integration pattern and team capability. Cache invalidation is the hard part—architect explicit TTL and event-driven invalidation, not hope. Optimize for scale and operational observability.
Architect Perspective
Cache invalidation is the hard part—architect explicit TTL and event-driven invalidation, not hope.