Question 1

System reliability is about continuing to work correctly even when failures like network partitions or server crashes inevitably occur.

Accepted Answer

System reliability is about continuing to work correctly even when failures like network partitions or server crashes inevitably occur. — from "7 System Design Concepts Explained in 10 Minutes"

Question 2

The CAP theorem states that distributed systems can only provide two of these three guarantees at once: Consistency, Availability, and Partition tolerance.

Accepted Answer

The CAP theorem states that distributed systems can only provide two of these three guarantees at once: Consistency, Availability, and Partition tolerance. — from "7 System Design Concepts Explained in 10 Minutes"

Question 3

Eventual consistency allows systems to complete writes quickly without waiting for all replicas to confirm, improving performance and availability, though users might occasionally see slightly old data.

Accepted Answer

Eventual consistency allows systems to complete writes quickly without waiting for all replicas to confirm, improving performance and availability, though users might occasionally see slightly old data. — from "7 System Design Concepts Explained in 10 Minutes"

Question 4

YouTube processes an enormous amount of video content, with 500 hours uploaded every minute, making its engineering complex.

Accepted Answer

YouTube processes an enormous amount of video content, with 500 hours uploaded every minute, making its engineering complex. — from "System Design: Design YouTube"

Question 5

To handle large video uploads, the system uses pre-signed URLs, allowing clients to upload directly to blob storage without burdening API servers.

Accepted Answer

To handle large video uploads, the system uses pre-signed URLs, allowing clients to upload directly to blob storage without burdening API servers. — from "System Design: Design YouTube"

Question 6

Large videos are split into smaller chunks (5-10 MB) and uploaded in parallel using a multipart upload approach, which also supports resumable uploads.

Accepted Answer

Large videos are split into smaller chunks (5-10 MB) and uploaded in parallel using a multipart upload approach, which also supports resumable uploads. — from "System Design: Design YouTube"

Question 7

Rate limiters control how many requests a client can make to an API in a given time to prevent system overload and ensure fair access.

Accepted Answer

Rate limiters control how many requests a client can make to an API in a given time to prevent system overload and ensure fair access. — from "Rate Limiter System Design"

Question 8

Key requirements for a rate limiter include configurable rules, rejecting excess requests with HTTP 429, minimal latency, and high availability across multiple servers.

Accepted Answer

Key requirements for a rate limiter include configurable rules, rejecting excess requests with HTTP 429, minimal latency, and high availability across multiple servers. — from "Rate Limiter System Design"

Question 9

The fixed window counting algorithm divides time into intervals and resets a user's request counter at the start of each window, but it has a flaw where users can make a large number of requests across window boundaries.

Accepted Answer

The fixed window counting algorithm divides time into intervals and resets a user's request counter at the start of each window, but it has a flaw where users can make a large number of requests across window boundaries. — from "Rate Limiter System Design"

Question 10

Key-value stores act like a giant dictionary, storing data using a unique key and its associated value.

Accepted Answer

Key-value stores act like a giant dictionary, storing data using a unique key and its associated value. — from "How Key Value Stores Work (Redis, DynamoDB, Memcached)?"

System Design Deep Dive

What You'll Learn

7 System Design Concepts Explained in 10 Minutes

System Design: Design YouTube

Rate Limiter System Design

How Key Value Stores Work (Redis, DynamoDB, Memcached)?

Design A Chat System (WhatsApp, Messenger, Discord)

System Design BASICS: Horizontal vs. Vertical Scaling

What is CONSISTENT HASHING and Where is it used?

The backbone of backend system design