Sample Answer
I designed the backend for a customer notifications platform that handled about 30M events/day with strict SLA requirements (99.95% uptime, sub‑1s delivery for 95% of messages). We used a microservice architecture on Kubernetes: an API gateway, an ingestion service, a rules engine, and channel workers (email, SMS, push). Kafka acted as the backbone between services so spikes were buffered instead of crashing downstream systems. For storage, we used PostgreSQL for configuration and user preferences, and DynamoDB for high‑volume event logs that needed cheap, scalable writes. On caching, we put Redis in front of user preference lookups and saw DB reads drop by ~70%. For availability, each service had at least 3 replicas across zones, health checks, and circuit breakers via a service mesh. We ran chaos tests to simulate Kafka outages, partial zone failures, and downstream provider timeouts. Under a 3x traffic spike, the system stayed within SLA and error rates stayed below 0.5%.
Keywords
In your civil engineering studies, what specific design coursework or project work did you complete related to irrigation channels or canals (e.g., design of lined/unlined canals, distributaries, minors)? Describe one such design in detail, including how you determined discharge, permissible velocity, section dimensions, and lining choice for Gujarat-type soil and climate conditions.
Based on your hydrology and irrigation engineering background, explain how you would estimate the irrigation water requirement for a kharif crop in a semi-arid region of Gujarat. Walk me through each step: from reference evapotranspiration estimation, crop coefficient selection, effective rainfall calculation, to arriving at canal discharge for a given command area.
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