Database Selection and Trade Offs Questions

How to evaluate and choose data storage systems and architectures based on workload characteristics and business constraints. Coverage includes differences between relational and nonrelational families such as document stores, key value stores, wide column stores, graph databases, time series databases, and search engines; mapping query patterns and latency requirements to storage options; trade offs between strong consistency and eventual consistency and their impact on availability and complexity; partition key design, replication strategies, and high availability considerations; operational concerns including backups, monitoring, vendor and cost trade offs, migration or hybrid strategies, and when to adopt polyglot persistence. Senior level discussion includes selecting specific managed services and reasoning about expected load patterns, failure modes, and operational burden.

MediumTechnical

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List and prioritize failure modes for a distributed database under heavy write load (disk saturation, GC pauses, compaction storms, network partitions, replica lag). For the top three failure modes propose detection methods, immediate mitigations, and long-term engineering fixes.

HardTechnical

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Explain the trade-offs between linearizability, sequential consistency, causal consistency, and eventual consistency. For each model give an example workload where it is appropriate and describe how it affects application complexity, latency, and availability under network partitions.

HardTechnical

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You're evaluating a managed proprietary DB with unique features but are concerned about vendor lock-in. Propose a strategy to minimize lock-in while leveraging managed features: abstraction layers, data export/import automation, compatibility layers, regular migration testing, and metrics to measure migration risk and readiness.

EasyTechnical

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Explain why time-series databases (InfluxDB, Prometheus, TimescaleDB) are optimized for metrics and events. For a monitoring workload with 100k metrics at 10s resolution, describe how compression, retention policies, downsampling/rollups, cardinality and ingestion rate influence your choice, and how you'd design retention tiers and queries to meet both performance and cost goals.

HardBehavioral

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Tell me about a time (or hypothetically) you introduced a new database or storage technology into production. Walk through your validation plan: benchmarks, failure-mode testing, migration strategy, monitoring changes, rollback plan, and how you convinced stakeholders to accept the new system. Focus on trade-offs and measurable outcomes.

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