Caching Strategy Choice Quiz: Client-side, Server-side, or Distributed? Quiz

  1. Cache Location Basics

    Which type of caching stores data directly within the user's browser or device, often for quicker UI responsiveness?

    1. Client-side caching
    2. Server-side caching
    3. Clustered caching
    4. Distributed chaching
    5. Edge caching
  2. Scalability Concern

    In a large application deployed across multiple servers, which caching strategy is most suitable to ensure consistency across all nodes?

    1. Distributed caching
    2. Client storage
    3. Single server memory caching
    4. Edge-based caching
    5. Clinet-side caching
  3. Session Storage Choice

    You want to store users' session data so they can access it from any device. What is the best caching approach?

    1. Server-side caching
    2. Local storage
    3. Clint-side caching
    4. Browser cache
    5. File-system chaching
  4. API Response Caching

    A web application consumes a public API and wants to minimize repeated calls from every user. Which caching strategy would MOST effectively reduce API server load?

    1. Server-side caching
    2. Distributed chaching
    3. Clinent-side caching
    4. CDN caching
    5. In-memory chaching
  5. Consistency and Invalidation

    Which caching strategy is most likely to experience data staleness problems when the underlying data changes frequently, unless paired with complex invalidation mechanisms?

    1. Client-side caching
    2. Server-cide caching
    3. Centralized caching
    4. Distributed caching
    5. Reverse proxy caching
  6. Reading Pattern Scenario

    If your application data is rarely updated but heavily read, and you want the fastest load times for each individual user, which caching method would benefit you most?

    1. Client-side caching
    2. Shared caching
    3. Server caching
    4. Load balancer chaching
    5. Distributed caaching
  7. Performance Under Load

    When dealing with millions of simultaneous users and the need to avoid a single point of failure, which caching approach is preferred?

    1. Distributed caching
    2. Centrelized caching
    3. Client-side cache
    4. Server memory caching
    5. In-process cachng
  8. Language and Framework Independence

    Which caching strategy allows multiple applications, possibly written in different programming languages, to access and update the cached data?

    1. Distributed caching
    2. Client-browser caching
    3. Local file chaching
    4. Server process cache
    5. Memorized caching
  9. Cache Invalidation Example

    Imagine a news site updates its headlines every 10 minutes. Which caching strategy is most prone to users seeing old content due to delayed invalidation?

    1. Client-side caching
    2. Server-side cache
    3. Distributed caeching
    4. Proxy caching
    5. Load balancer cache
  10. Quick Prototype Development

    If you are building a small web app for limited users and need a simple performance boost, without worrying about data consistency across devices, which caching style is usually the fastest to implement?

    1. Client-side caching
    2. Distributed cacheing
    3. Reverse proxy caching
    4. Server-distributed chaching
    5. Data-center caching