All questions
of 26What is replication in distributed systems?
Answer it yourself first - out loud, or typed below.
How should your speech become text?
Listening… your words appear above as you speak - tap Stop when you're done.
Recording · cr - tap Stop & transcribe when you're done.
Transcribing with AI…
Voice:
Last attempt -
Replication is the process of maintaining multiple copies of data across different nodes or servers in a distributed system. The primary goals are to improve availability, fault tolerance, and performance by ensuring that if one node fails, the data remains accessible from other nodes.
Key benefits include:
- High Availability: System remains operational even if some nodes fail
- Fault Tolerance: Data is preserved even during hardware failures
- Performance: Reduced latency by serving data from geographically closer replicas
- Load Distribution: Multiple nodes can handle read requests simultaneously
This answer doesn't lend itself to a diagram - it reads best . No credits were charged.
The model's verdict: “”
The interactive diagram is below the answer - jump to diagram ↓
This answer is explained by a shared concept diagram - open →
What's the difference between replication and sharding?
Answer it yourself first - out loud, or typed below.
How should your speech become text?
Listening… your words appear above as you speak - tap Stop when you're done.
Recording · cr - tap Stop & transcribe when you're done.
Transcribing with AI…
Voice:
Last attempt -
Replication involves copying the same data to multiple nodes, while sharding involves splitting different portions of data across multiple nodes.
Replication: Each node contains a complete copy of the dataset
- Node A: {user1, user2, user3}
- Node B: {user1, user2, user3}
Sharding: Each node contains a subset of the data
- Node A: {user1, user3}
- Node B: {user2}
Replication focuses on availability and fault tolerance, while sharding focuses on horizontal scaling and performance for large datasets.
This answer doesn't lend itself to a diagram - it reads best . No credits were charged.
The model's verdict: “”
The interactive diagram is below the answer - jump to diagram ↓
This answer is explained by a shared concept diagram - open →
Explain the master-slave replication model.
Answer it yourself first - out loud, or typed below.
How should your speech become text?
Listening… your words appear above as you speak - tap Stop when you're done.
Recording · cr - tap Stop & transcribe when you're done.
Transcribing with AI…
Voice:
Last attempt -
Master-slave replication involves one primary node (master) that handles all write operations, while one or more secondary nodes (slaves) receive copies of the data and typically handle read operations.
How it works:
- All writes go to the master node
- Master propagates changes to slave nodes
- Reads can be served from either master or slaves
- If master fails, one slave can be promoted to master
Advantages:
- Simple to implement and understand
- Consistent writes (single point of truth)
- Read scalability through multiple slaves
Disadvantages:
- Single point of failure for writes
- Write bottleneck at master
- Potential data loss during failover
This answer doesn't lend itself to a diagram - it reads best . No credits were charged.
The model's verdict: “”
The interactive diagram is below the answer - jump to diagram ↓
This answer is explained by a shared concept diagram - open →
What is eventual consistency?
What is log shipping and how does it differ from streaming replication?
What is synchronous vs asynchronous replication?
Describe master-master (multi-master) replication.
What is logical vs physical replication?
Explain the CAP theorem and its implications for replication.
What are the different levels of consistency in distributed systems?
How does replication impact read and write performance?
What is read-after-write consistency and how do you implement it?
How do you monitor replication lag?
How does MySQL replication work internally?
What are the differences between statement-based and row-based replication?
How does PostgreSQL streaming replication work?
What is the difference between active-active and active-passive replication?
How do you handle write conflicts in multi-master replication?
What are vector clocks and how are they used in replication?
What is the split-brain problem and how do you prevent it?
Explain the concept of write quorum and read quorum.
What are Conflict-free Replicated Data Types (CRDTs)?
How do you implement cross-datacenter replication?
How do you handle schema changes in a replicated environment?
What are the considerations for handling large object replication?
How do you implement multi-region replication with disaster recovery?
This answer is part of Pro.
The full written answer, with the trade-offs and follow-ups an interviewer will probe.
No matches
Try a different filter or search term.
Replication Strategies, in short videos.
23 of 26 Replication Strategies answers are gated.
Full answers, code samples, AI explanations - simpler, deeper, or as an interactive diagram. Cancel anytime.
- Full answers + code
- AI explain - simpler, deeper, or visualized
- 1,000 AI credits / month
- Cancel anytime
Change topic
Pick a different technology or stack. Your current topic stays put until you choose a new one.
MEAN
MongoDB, Express, Angular, Node.jsMERN
MongoDB, Express, React, Node.jsLAMP
Linux, Apache, MySQL, PHPRuby on Rails
Convention over ConfigurationJAM
JavaScript, APIs, and MarkupServerless on AWS
Serverless Architecture on AWSInterviewers also test these - they're common to every stack, whichever one you picked above.
Flutter Mobile
Flutter Cross-Platform Mobile DevelopmentInterviewers also test these - they're common to every stack, whichever one you picked above.
Spring Boot
Enterprise Java Development.NET
Microsoft EcosystemVue
Vue.js, Vite, TypeScript, Tailwind, Node.jsGo Backend
Golang, gRPC, PostgreSQL, Redis, RabbitMQFastAPI
Python, FastAPI, SQLAlchemy, PostgreSQLReact Native
React, TypeScript, Redux, FirebaseiOS Native
Swift, SwiftUI, UIKit, FirebaseAndroid Native
Java, Jetpack Compose, FirebaseWeb3 / Ethereum
Solidity, Ethereum, Hardhat, FoundryDevOps / Platform
Docker, Kubernetes, Terraform, CI/CDCore SWE Interview Prep
Data structures, algorithms, OS, concurrency, networking, gitInterviewers also test these - they're common to every stack, whichever one you picked above.
Interviewers also test these - they're common to every stack, whichever one you picked above.