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Large Scale Infrastructure Challenges Questions

Awareness of engineering and operational challenges at massive scale including global network optimization, multi region failover and redundancy, integration of cloud and on premise systems, security and compliance at scale, performance and latency for a global user base, cost optimization across large fleets, and maintaining reliability without exponential operational complexity. Candidates should demonstrate thinking about architecture patterns, trade offs, monitoring and incident response at scale, and strategies for evolving platform capabilities as load and feature sets grow.

HardSystem Design
0 practiced
Design a global traffic management system to route users to the nearest healthy region with automatic failover and weighted routing. Requirements: support 200M users, 10M requests/sec, session affinity for stateful apps, <100ms DNS resolution, and failover detection within 30s. Describe components, health-check strategies, consistency implications, and trade-offs.
MediumTechnical
0 practiced
You run stateful workloads on Kubernetes across three regions. Propose a safe cross-region failover plan that minimizes data loss and downtime. Discuss data replication approaches, how DNS failover should be handled, session continuity, and trade-offs between RPO and RTO.
EasyTechnical
0 practiced
Given an SLO of 99.9% monthly availability for an HTTP API, calculate the monthly error budget in minutes and explain how you would configure an alerting policy that triggers when error budget consumption crosses meaningful thresholds. Describe actions teams should take at those thresholds.
EasyTechnical
0 practiced
Define eventual consistency and strong (linearizable) consistency. Provide two production examples where eventual consistency is acceptable (for a global operator) and two examples where strong consistency is required. Discuss operational implications for testing and incident response.
MediumTechnical
0 practiced
Design a canary release process for a global product across six regions that includes traffic shaping, regional baselining, automatic rollback triggers tied to error-budget consumption and service metrics, and orchestration to coordinate staged rollouts while minimizing customer impact.

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