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System Design & Architecture: Practice Exams

Master senior engineering interviews with 200 questions on Microservices, Scaling, Caching, and the CAP Theorem.

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About this course

Writing an algorithm that works on your local laptop is a great start. But what happens to that algorithm when 10 million users try to run it at the exact same second? Welcome to the System Design & Architecture practice assessments! The System Design interview is the ultimate gatekeeper for mid-level and senior engineering roles. Top tech companies don't just want coders; they want architects who can design fault-tolerant, highly available, and globally distributed systems without burning through the server budget.

This comprehensive practice test course provides you with 200 realistic, highly technical questions modeled directly after the conceptual design scenarios given in elite engineering interviews. Across these four rigorous practice exams, you will be thrown into high-stakes architectural challenges. You will determine how to structure the database for a global video streaming platform, decouple background processing for a high-frequency trading engine, and implement rate limiting to protect an e-commerce checkout API from DDoS attacks.

The questions in this course cut through basic coding syntax and dive straight into massive architectural trade-offs. You will be challenged on the brutal realities of the CAP Theorem, the complexities of database sharding, and the operational overhead of migrating to microservices. If you are aiming for a senior developer title, preparing to architect a massive application from scratch, or simply wanting to understand how companies like Netflix and Uber scale their infrastructure, this is your ultimate testing ground. Enroll today and start scaling!

Course locale: English (US)

Course instructional level: Advanced Level

Course category: Development

Course subcategory: Software Engineering

What you'll learn

  • Architect highly scalable web applications by mastering the trade-offs between Horizontal vs. Vertical Scaling, and Monolithic vs. Microservice architectures.
  • Optimize massive global databases by understanding when to implement Sharding, Read Replicas, and Active-Passive failover strategies.
  • Accelerate application performance using advanced caching strategies (Write-Through, Cache-Aside) and Content Delivery Networks (CDNs).
  • Decouple complex backend services to prevent system overloads using Message Queues (Kafka/RabbitMQ) and API Rate Limiting (Token Bucket).

Before you begin

  • A solid foundation in general software engineering, networking, and databases. You should understand how a basic web application connects to a database before attempting to design systems for millions of users.

Who this is for

  • Software Engineers, Backend Developers, and Cloud Architects preparing for the notoriously difficult "System Design Interview" at FAANG (Facebook, Amazon, Apple, Netflix, Google) and top-tier tech companies.

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