Analyzing Requirements and Service Selection Questions
Given a business requirement (e.g., 'store real-time game data with sub-millisecond latency'), systematically identify appropriate cloud services and justify your choice based on performance, cost, and operational considerations. Articulate trade-offs explicitly.
MediumTechnical
0 practiced
Design capacity planning and autoscaling policy for an in-memory layer that must keep p99 under 1ms during 10x traffic spikes. Include warm-up strategies, autoscaler triggers, pre-warming capacity, safe cooldowns, and guardrails to prevent oscillation.
HardSystem Design
0 practiced
Design a cross-cloud resilient low-latency data platform that avoids vendor lock-in. Define an abstraction layer for in-memory data access, data synchronization technique, consistent hashing or routing for local caches, and explain behavior when one cloud's region becomes degraded.
EasyTechnical
0 practiced
What are typical availability SLAs and characteristics offered by managed in-memory services (for example 99.9% versus 99.99%), and why do these differences materially affect design decisions for a low-latency system?
HardSystem Design
0 practiced
Design the integration architecture for a third-party matchmaking service that requires real-time session affinity with your low-latency storage. Define integration points, data ownership, API semantics, consistency guarantees, and partition handling when network partitions or peak loads occur.
MediumSystem Design
0 practiced
Design a cloud architecture to store real-time game data with sub-millisecond read latency while supporting 100k writes per second. Specify major components, data flow, and pick a cloud provider (AWS, GCP, or Azure). Justify the chosen managed services, explain scaling approach, and list operational tasks required to run it.
Unlock Full Question Bank
Get access to hundreds of Analyzing Requirements and Service Selection interview questions and detailed answers.
Sign in to ContinueJoin thousands of developers preparing for their dream job.