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.

HardTechnical

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You detect silent data corruption in a distributed database cluster. Walk through immediate containment actions, forensic validation checks to quantify corruption scope, repair and restore strategies, communication to stakeholders, regulatory obligations, and long-term preventative measures to avoid recurrence.

HardTechnical

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Prepare the key points you would present to a board to secure approval for a 3-year migration from on-prem relational systems to a cloud-native polyglot architecture. Include risk assessment, KPIs, expected benefits (cost, agility, resilience), phased milestones, migration costs, vendor lock-in considerations, and how success will be measured post-migration.

HardTechnical

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Given a monolithic PostgreSQL instance at 20 TB with high read and write contention, analyze strategies to reduce operational burden: partitioning, read replicas, logical sharding, materialized views, vertical decomposition, or migrating specific workloads to other stores. Provide pros and cons, risk mitigation, and a phased migration plan with minimal downtime.

EasyTechnical

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Explain polyglot persistence, including when it is valuable and common architecture patterns that combine multiple data stores. Describe the operational and developer pitfalls to avoid and sketch a minimal architecture that uses an RDBMS for transactions, a document store for flexible profiles, and a search engine for product lookup.

HardTechnical

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Architect a change-data-capture pipeline to reliably replicate transactional database changes into a search index and an analytics data lake. Address ordering guarantees, exactly-once delivery or deduplication, schema evolution handling, backfill processes, latency targets, and how to replay or repair after outages.

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