Salesforce
Medium
Software EngineerDesign a coffee ordering system
System Design
646
4
January 22, 2026
Caching System Design Interview Questions
Caching questions test your understanding of how to reduce latency and database load using various caching strategies.
Expect questions on cache placement, eviction policies, write strategies, and the classic cache invalidation problem.
Interviewers evaluate whether you can design caching that improves performance without introducing stale data bugs.
890Questions
158Companies
Easy 42 • Medium 2 • Hard 456Difficulty mix
Common caching interview patterns
- Write-through vs write-back vs write-around caching
- Cache eviction policies (LRU, LFU, TTL)
- CDN caching for static and dynamic content
- Cache-aside (lazy loading) pattern
- Distributed caching with Redis or Memcached
- Cache warming and pre-computation
Caching interview questions
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OpenAI
Easy
Software EngineerDesign a sandboxed cloud IDE
System Design
225
2
January 22, 2026
Anthropic
Medium
Software EngineerHow to stream a large file to 1000 hosts fastest
System Design
172
0
March 1, 2026
Microsoft
Medium
Software EngineerDesign a cloud console main page
System Design
196
0
December 15, 2025
Stripe
Hard
Software EngineerDesign ledger and bikemap integration
System Design
192
0
July 29, 2025
Databricks
Hard
Software EngineerDesign a single-node persistent in-memory cache
System Design
133
2
January 22, 2026
OpenAI
Hard
Software EngineerDesign GPU credit allocator
System Design
168
0
August 4, 2025
Netflix
Hard
Software EngineerDesign an ad frequency capping system
System Design
119
0
March 9, 2026
Netflix
Hard
Software EngineerDesign an ads audience targeting system
System Design
92
1
January 20, 2026
Rippling
Medium
Software EngineerDesign expense rules engine and return type
System Design
78
0
August 7, 2025
Uber
Medium
Software EngineerDesign cart management lifecycle service
System Design
93
0
March 1, 2026
Rippling
Hard
Software EngineerDesign a scalable expense rules engine
System Design
65
0
September 6, 2025
DoorDash
Medium
Software EngineerDesign a resilient bootstrap API
System Design
40
0
February 13, 2026
Databricks
Hard
Software EngineerDesign a durable key-value store
System Design
74
0
August 11, 2025
Anthropic
Medium
Software EngineerDesign a distributed web crawler
System Design
69
0
January 6, 2026
Rippling
Medium
Software EngineerDesign delivery driver payment system
System Design
47
0
July 29, 2025
Anthropic
Hard
Software EngineerDesign a batch inference API
ML System Design
36
0
September 6, 2025
Uber
Hard
Software EngineerDesign real-time driver heatmap system
System Design
48
0
August 1, 2025
DoorDash
Hard
Software EngineerDesign a 3-day donation platform
System Design
66
0
August 13, 2025
OpenAI
Medium
Software EngineerDesign a Hosted Notebook Platform
System Design
47
0
April 12, 2026
Common mistakes with caching
- Caching everything without analyzing access patterns
- Not handling cache misses gracefully (thundering herd)
- Ignoring cache invalidation complexity
- Setting TTLs too aggressively or too conservatively
- Forgetting that caches can fail and planning no fallback
How caching questions are evaluated
Explain when caching helps and when it adds complexity for little gain.
Discuss invalidation strategies and how you handle stale data.
Consider the cache in the context of the overall system, not in isolation.