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Top 50 architecture patterns Interview Questions

The most frequently asked architecture patterns questions across all roles and companies, ranked by real interview frequency. Updated daily.

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System DesignStart here. 49 questions · ~392 min
Monolith vs Microservices Trade-offsHard
Recently asked

Compare monolithic and microservices architectures, including deployment, scaling, reliability, data ownership, and migration trade-offs.

latencyTrade-offsdistributed systemsDDoctolibSScalable PressPRICE WATERHOUSE COOPERS
State Management in ReactHard
Recently asked

Explain how to choose React state ownership, synchronization, and update patterns while avoiding unnecessary re-renders.

challengesclient-sidereactGloballogicAsurionVLink
Scalable Real-Time Data ArchitectureHard
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Design a scalable real-time data processing architecture with low latency, high throughput, and fault tolerance.

data processingdistributed systemsscalabilityNielsenMorningstarAAalto University
Parking Lot System DesignHard
Recently asked

Design the object-oriented classes and high-level architecture for a parking lot system.

class structuredesignarchitecture patternsGGuidepointMMindbodyMMoveInSync
Design a RESTful APIHard
Recently asked

Design a maintainable RESTful API with clear contracts, validation, security, versioning, observability, and reliable failure handling.

api designsystem architectureauthorizationRRise PeopleAAccellorFFiducial
Monolith to Microservices MigrationHard
Recently asked

Explain the architectural, operational, data, and organizational considerations for safely migrating a monolithic application to microservices.

migrationenterprise architecturedistributed systemsSSoftwareOneVVertexIInnovaccer
Microservices ExperienceHard
Recently asked

Explain your hands-on microservice architecture experience, including service boundaries, communication, deployment, observability, and tradeoffs.

distributed systemsapi gatewayarchitectureZohoCCardinal RecruitmentSSo Energy
Ensuring Microservices ConsistencyHard
Recently asked

Explain how to maintain data consistency across microservices, including transactions, events, retries, reconciliation, and failure handling.

distributed systemsdata consistencyarchitectureWhatnotWWellhubMMetropolis Healthcare
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