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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.

MediumSystem Design
0 practiced
Design a global multi-tenant event ingestion pipeline that accepts 1M events/sec across three regions, preserves per-tenant ordering within a region, provides low ingestion latency (<200ms), supports per-tenant throttling, and stores events in a tenant-partitioned cold store for analytics. Outline components, partitioning strategy, and failure handling.
HardTechnical
0 practiced
Describe architectural patterns for handling per-tenant schema evolution at scale: safe, online schema migrations, feature flags, shadow writes, and backfill strategies. Include rollback considerations and how to coordinate schema changes for tenants on different database isolation levels.
MediumTechnical
0 practiced
You need to migrate tenants from a shared-schema DB to dedicated databases with minimal downtime. Describe a migration strategy covering data sync (initial bulk + incremental CDC), cutover process, testing, rollback plan, and how to handle schema changes during the migration window.
MediumTechnical
0 practiced
Design a per-tenant rate limiter for API ingestion supporting 100k tenants where each tenant has a base quota plus burst credits. Describe data structures, storage (in-memory vs Redis), how to scale, and strategies to avoid cross-tenant interference and race conditions in a distributed environment.
EasyTechnical
0 practiced
Describe a simple geo-replication and backup strategy for a multi-tenant database. Explain how you would set per-tenant RPO/RTO expectations, ensure geographic redundancy, and how restores for a single tenant vs full region failover differ operationally.

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