Solve 30 Backend Questions with me in 2 hrs | Master Backend Interviews

In this video, I will solve 30 Backend Interview Questions, after this video, you will feel yourself equipped with Backend Concepts, ready for Placements and Tech Interviews. Book a 1:1 Call with me - https://topmate.io/akshitmadan Discord Invite - https://discord.com/invite/wRD7vgZ5fu Github Repo Link added in Discord Resources - https://discord.com/channels/1333383027878920192/1333405498958942332/1345752590981267487 😎Follow me on Social Media - Instagram- https://www.instagram.com/akshitmadan_/?hl=en LinkedIn- https://www.linkedin.com/in/akshit-madan-394a82a6 Threads - https://www.threads.net/@akshitmadan_ 🔴Dart Course Playlist - https://www.youtube.com/playlist?list=PL9n0l8rSshSlpNWvY4eu_5Oq8l4MRvppT 🔴AI Apps Projects Series - https://www.youtube.com/playlist?list=PL9n0l8rSshSlJERAnlcI85H5weQLZW1hO 🔴All Flutter Projects - https://www.youtube.com/playlist?list=PL9n0l8rSshSnT19B70XO9dYUucjD3aYWa 🔴All Python Videos - https://www.youtube.com/playlist?list=PL9n0l8rSshSkpSrSjD1PGbDk1p0d5mne- 🔴Data Science Videos - https://www.youtube.com/playlist?list=PL9n0l8rSshSnZHFChXIG5Q9f0UN8O-UYX #backend #sql #nodejs #softwareengineer Tags Role of backend in web applications HTTP requests and methods (GET, POST, PUT, DELETE) How servers handle client requests Difference between relational (SQL) and non-relational (NoSQL) databases Environment variables and their importance API concepts and usage in backend development Primary keys and indexing Database schema design (e.g., blogs, e-commerce) SQL vs NoSQL trade-offs Database normalization and denormalization Caching strategies (Redis, Memcached) Database replication, sharding, and scaling Eventual consistency vs strong consistency Multi-tenant database schema design Database recovery and disaster management RESTful API design principles API authentication (JWT, OAuth) vs authorization API versioning strategies Securing APIs against SQL Injection, CSRF, XSS Handling long-running tasks in APIs Pagination techniques for large datasets Idempotency in API requests (e.g., Payment APIs) Rate limiting using Token Bucket Algorithm Monolithic vs microservices architecture Horizontal vs vertical scaling strategies High-availability systems (HA architecture) Load balancing (round-robin, least connections) Circuit breaker patterns for fault tolerance Handling high-traffic spikes in backend services Optimizing slow SQL queries Connection pooling in high-traffic applications WebSockets and real-time messaging (e.g., chat apps, stock updates) Designing a content delivery system (CDN, edge computing) Push notifications (SMS, email, Firebase Cloud Messaging) Asynchronous job processing (RabbitMQ, Kafka, Celery) Distributed transactions and their challenges