Amazon System Design interview questions focus on building practical, scalable, and reliable architectures under real-world constraints. What’s distinctive about Amazon’s loop is the scale and operational mindset: expect emphasis on distributed data models, consistency trade-offs, cost-aware choices (frugality), observability, and failure-recovery. Interviews evaluate your ability to gather requirements, sketch APIs and data flows, reason about scaling and bottlenecks, and justify trade-offs while communicating clearly. You should be prepared to discuss monitoring, SLOs, and operational playbooks as part of a complete design. For interview preparation, practice a handful of canonical systems (caching, queues, leader election, sharding, CDNs, recommendation backends) and rehearse capacity estimation, latency vs. throughput trade-offs, and failure scenarios. Use mock whiteboard sessions to sharpen clear diagrams and concise narration, and practice asking clarifying questions early. During the loop, expect open-ended prompts with iterative deep dives; aim to propose a simple core design first, then expand into edge cases, scaling, and observability. Focus on assumptions, measurable metrics, and why one design is preferable given Amazon’s performance, cost, and reliability constraints.