Why caching reduces server load in Rest API - Quick Recap

Recall & Review

beginner

What is caching in the context of REST APIs?

Caching is storing copies of responses from a server temporarily so that future requests for the same data can be served faster without contacting the server again.

beginner

How does caching reduce server load?

By serving repeated requests from the cache instead of the server, caching reduces the number of times the server must process the same request, lowering CPU and memory usage.

intermediate

What types of data are good candidates for caching?

Data that does not change often, like static resources or infrequently updated API responses, are good candidates because cached copies remain valid longer.

beginner

What is a cache hit and a cache miss?

A cache hit happens when requested data is found in the cache and served quickly. A cache miss happens when data is not in the cache, so the server must process the request.

intermediate

Why is caching important for scalability?

Caching helps handle more users by reducing the work each request requires from the server, allowing the system to serve more requests without adding more hardware.

What happens when a REST API request results in a cache hit?

A The cache is cleared

B The response is served from the cache without contacting the server

C The server processes the request again

D The request is rejected

A cache hit means the requested data is found in the cache and served directly, reducing server load.

Which type of data is best suited for caching?

A Static or rarely changing data

B Real-time sensor data

C User login credentials

D Frequently changing data

Static or rarely changing data can be cached safely because it remains valid longer.

How does caching improve server performance?

A By reducing the number of requests the server must process

B By increasing the number of requests the server must handle

C By deleting old data from the server

D By slowing down response times

Caching reduces server load by serving repeated requests from stored data instead of processing them again.

What is a cache miss?

A When data is found in the cache

B When the cache is full

C When data is not found in the cache and the server must process the request

D When the cache is cleared automatically

A cache miss means the requested data is not in the cache, so the server processes the request.

Why does caching help with scalability?

A It disables user requests

B It increases server hardware requirements

C It makes the server slower

D It reduces the number of requests the server must handle

Caching reduces server work per request, allowing the system to handle more users efficiently.

Explain in your own words why caching reduces server load.

Think about how getting data from a nearby shelf is faster than going to the store every time.

Describe what happens during a cache hit and a cache miss.

Imagine checking your fridge first before going to the grocery store.