• Explain how to implement a custom cache eviction strategy based on specific business requirements.

  • Imagine you have a cache with limited memory, and you need to store objects of varying sizes. How would your eviction strategy handle this?

  • How would you handlecache invalidationin adistributed caching environment?

  • Design acaching systemfor asocial media feedusing an appropriateeviction strategy.

  • What are some common pitfalls to avoid when implementing cache eviction?

  • Explain how cache eviction can impact application latency.

  • How do you measure thehit ratioof acacheand its impact onperformance?

  • Describe how tochoose an appropriate cache eviction strategyfor aspecific application.

  • How can you preventthrashingwhen using acachewith alimited size?

  • What are the challenges of implementing cache eviction in a distributed system?

  • How does a write-back cache interact with eviction policies ?

  • Explain how awrite-through cacheworks with differenteviction strategies.

  • How does thesize of the cacheimpact the effectiveness of differenteviction strategies?

  • Discuss the trade-offs between different cache eviction policies in a high-traffic web application.

  • How would you implement an LFU cache using a hash table and a doubly linked list ?

  • Implement an LRU cache with a fixed capacity.

  • When would you chooseLRUoverLFU, andvice versa?

  • What are the advantages and disadvantages of using a Most Recently Used (MRU) strategy?

  • Describe the First-In, First-Out (FIFO) cache eviction strategy.

  • How does the Least Frequently Used (LFU) strategy differ from LRU ?

  • Explain the Least Recently Used (LRU) cache eviction strategy .

  • What are the most commoncache eviction strategies?