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Load Balancing and Traffic Distribution Questions

Covers why load balancers are used and how traffic is distributed across backend servers to avoid single server bottlenecks, enable horizontal scaling, and provide fault tolerance. Candidates should know common distribution algorithms such as round robin, least connections, weighted balancing, and consistent hashing, and understand trade offs among them. Explain the difference between layer four and layer seven load balancing and the implications for routing, request inspection, and protocol awareness. Discuss stateless design versus stateful services, the impact of session affinity and sticky sessions, and alternatives such as external session stores or token based sessions to preserve scalability. Describe high availability and resilience patterns to mitigate a single point of failure, including active active and active passive configurations, health checks, connection draining, and global routing options such as DNS based and geo aware routing. At senior and staff levels, cover advanced capabilities like request routing based on metadata or headers, weighted traffic shifting for canary and blue green deployments, traffic mirroring, rate limiting and throttling, integration with autoscaling, and strategies for graceful degradation and backpressure. Also include operational concerns such as secure termination of transport layer security, connection pooling, caching and consistent hashing for caches, monitoring and observability, capacity planning, and common debugging and failure modes.

HardTechnical
45 practiced
Explain backpressure techniques across load balancers, application servers, and message queues to prevent cascading failures. Discuss token-bucket shaping at the edge, HTTP 429 semantics and Retry-After, queue-based shedding for low-priority work, and how to coordinate client retry/backoff behavior.
HardTechnical
39 practiced
Design a secure TLS certificate rotation process for a fleet of edge load balancers that ensures zero downtime and preserves trust chains. Discuss private key distribution, automated renewal, canary rollout of new certs, handling intermediate CA changes, and procedures for unexpected revocation.
HardTechnical
39 practiced
Provide pseudocode or actual code to perform weighted traffic shifting at runtime while minimizing cache miss spikes. Use a consistent-hashing approach that preserves cache locality and show how you would add weight to a canary without flushing caches globally. Explain rollback steps.
EasyTechnical
39 practiced
Explain why load balancers are used in distributed systems. Describe at least four problems they solve (for example: single-server bottlenecks, routing, TLS termination, and health-based failover) and how they contribute to horizontal scaling, availability, and fault isolation.
MediumTechnical
45 practiced
Compare external session stores (e.g., Redis) versus token-based stateless sessions (JWT) for preserving user state behind a load balancer. Discuss scalability, latency, eviction behavior, security (token revocation), complexity, and operational considerations for each approach.

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