Top 30
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Updated weekly · Last refresh Aug 16

Top 30 System Design Interview Questions

The most frequently asked questions on this topic across all roles and companies, ranked by real interview frequency. Updated weekly.

30questions
~4htotal time
1,100companies covered
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1
Feature StoreStart here. 12 questions · ~96 min
Design Feature Drift Monitoring SystemHard
Recently asked

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingAlpacaMetaDevoteam
Design a Real-Time ML Feature StoreHard
Recently asked

Design a shared feature store for training and low-latency inference across many ML systems with strict freshness and consistency needs.

Feature StoreFeature DriftModel ServingHewlett Packard EnterpriseInvoca
Design a Personalized Product RecommenderHard
Recently asked

Design an end-to-end product recommendation system for a large e-commerce marketplace with strict latency and freshness needs.

Feature StoreFeature DriftModel ServingAlcatel-Lucent MotiveCandescentFrontier Technology
Design a URL Shortening ServiceHard
Recently asked

Design a URL shortening service that routes, ranks, and monitors links at scale.

Feature StoreModel ServingAmazon DSPApplied IntuitionDover India
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2
Cold Start5 questions · ~40 min
Design an LLM Serving PlatformHard
Recently asked

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingBellActianBlend360
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3
Infrastructure7 questions · ~56 min
Deploy a Cloud ML Inference SystemMedium
Recently asked

Design a cloud ML deployment system for a security product, covering training, serving, updates, and production monitoring.

InfrastructureFeature DriftModel ServingAmerican Association Of Motor VehiclesBookingSpectraforce
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4
More topics6 questions · ~48 min
Design a Personalized Recommendation RankerHard
Recently asked

Design a personalized recommendation system that turns user preferences into ranked suggestions with retrieval, ranking, and feedback loops.

RetrievalTwo-Tower ModelsRecommendation SystemsG-TECH ServicesFujitsuNeenOpal
Design a Highly Available ML Serving PlatformMedium
Recently asked

Design a distributed ML serving platform that stays available and scales under failures, traffic spikes, and model updates.

distributed systemsscalabilityhigh availabilityPPorterGlobal Payment HoldingDDistrict by Zomato
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