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Algorithm Design & Real-Time System Optimization Questions

Algorithm design techniques and real-time optimization strategies applicable to distributed systems and latency-sensitive architectures. Covers scheduling, resource management, concurrency, distributed algorithms, load balancing, and performance optimization under strict latency requirements.

MediumTechnical
55 practiced
Design a leader election protocol for a set of stateless processors in a single region without using an external coordination service. Outline failure detection, lease duration and renewal, fencing to avoid stale leaders, and how to avoid split-brain during network partitions.
EasyTechnical
61 practiced
Explain approximate streaming algorithms such as HyperLogLog and Count-Min Sketch. For real-time unique-user counts and frequent-item detection at very high throughput, discuss accuracy vs memory vs update latency trade-offs and how to merge state across partitions with minimal impact on latency.
MediumTechnical
64 practiced
Compare Raft (leader-based) vs leaderless/gossip approaches for coordinating offsets and lightweight configuration among stream-processing workers. Evaluate latency, write availability, conflict resolution complexity, and operational costs for a low-latency pipeline.
MediumTechnical
91 practiced
Implement a simple adaptive rate limiter in Go that adjusts allowed QPS per tenant based on observed response latency using an additive-increase/multiplicative-decrease (AIMD) scheme. Provide concurrency-safe APIs, how you measure latency, and describe stabilization controls to avoid oscillation.
MediumTechnical
63 practiced
Describe the internals of the circuit breaker pattern: metrics to monitor (error rate, latency), failure thresholds, sleep window, and half-open probe strategy. For an external enrichment API with variable latency, how would you choose parameters to minimize end-to-end tail latency without losing availability?

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