50 Core Caching Interview Questions

Web & Mobile Dev Fullstack Dev
Data Structures & Algorithms Data Structures
Software Architecture Design Patterns
Machine Learning & Data Science Machine Learning

Caching is a technique employed in computer science to store copies of data in high-speed systems that allow for quicker access. It is used to store frequently accessed or expensive to fetch data closer to the client to optimize latency savings. In tech interviews, knowledge of caching strategies and related data storage systems is assessed to understand a candidate's ability to improve the performance and efficiency of applications.

Content updated: January 1, 2024

Caching Fundamentals

  • 1.

    Define caching in the context of computer programming.

  • 2.

    What are the main purposes of using a cache in a software application?

  • 3.

    Can you explain the concept of cache hit and cache miss?

  • 4.

    Describe the impact of cache size on performance.

  • 5.

    How does a cache improve data retrieval times?

  • 6.

    What is the difference between local caching and distributed caching?

  • 7.

    Explain the concept of cache eviction and mention common strategies.

  • 8.

    What is a cache key and how is it used?

  • 9.

    Explain the importance of cache expiration and how it is managed.

  • 10.

    How does cache invalidation work and why is it necessary?


Cache Implementation and Design

  • 11.

    Describe the steps involved in implementing a basic cache system.

  • 12.

    How would you handle cache synchronization in a distributed environment?

  • 13.

    Explain the use of hash maps in cache implementation.

  • 14.

    What are some common caching algorithms, and how do they differ?

  • 15.

    Explain the design considerations for a cache that supports high concurrency.

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