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Multi Tenancy and Data Consistency Questions

Designing multi tenant systems that ensure strong operational and security boundaries between tenants while maintaining correct and performant data across geographic regions. Candidates should be able to discuss tenant isolation patterns including separate schemas, separate databases, separate storage buckets, logical partitioning, and virtual data warehouses; access control and encryption strategies to prevent cross tenant data leakage; deployment and network isolation options. They should also cover multi region replication and synchronization approaches, trade offs between strong consistency and eventual consistency, conflict detection and resolution strategies, per tenant and per region data residency and compliance considerations, backup and recovery with geographic redundancy, testing and verification of isolation and consistency properties, monitoring and alerting for replication lag or leakage, and operational concerns such as migration, scaling, and performance isolation.

MediumTechnical
0 practiced
Architect a metadata service that tracks tenant configuration: storage locations, schema versions, encryption keys, region pins, and quotas. Describe its API, consistency model, scaling approach, and how consumers (ingestion, query routers, billing) should use it safely in a distributed system.
MediumSystem Design
0 practiced
You have a Snowflake-like virtual data warehouse offering. Describe multi-tenancy patterns (separate accounts, shared database with role-based access, data shares) and how to ensure compute isolation, cost allocation, and safe cross-tenant analytics sharing without exposing raw data.
MediumTechnical
0 practiced
Explain snapshot isolation: what guarantees it provides, common anomalies (e.g., write skew), and how it differs from serializability. Provide an example SQL transaction pair that can exhibit write skew under snapshot isolation.
MediumTechnical
0 practiced
Describe conflict detection strategies for concurrent writes in a distributed multi-tenant system. Compare vector clocks, Lamport timestamps, version numbers, and last-writer-wins. Explain the cost and complexity of each and when to prefer CRDTs instead.
EasyTechnical
0 practiced
Describe strong (linearizable) consistency and eventual consistency. Provide multi-tenant examples where each model is appropriate (e.g., financial ledger vs. analytics counters) and explain how the choice affects latency, availability, and developer complexity.

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