Deep Technical Expertise in Your Strongest Area Questions
Deep dive into your most significant database project or challenge. Be prepared for very detailed follow-up questions about your technical decisions, trade-offs you considered, alternative approaches you rejected and why, performance optimizations you made, and lessons learned. Show mastery of the topic.[2][4][8]
EasySystem Design
68 practiced
Explain the backup and recovery strategy you used. State backup types (logical/snapshot/incremental), RTO/RPO targets, how you validated backups, and the complexity of restoring to a consistent point-in-time.
EasyTechnical
51 practiced
You need to provide an explainable summary of a query plan to a non-expert product manager. Summarize the key parts to show (cost drivers, hotspots, estimated vs actual rows) and suggest two simple actionables they could request to improve performance.
MediumTechnical
65 practiced
Discuss how you used statistical hypothesis testing or A/B experiments to evaluate database changes (index addition, config tuning, engine upgrade). Describe experiment design, metrics, sample size, and how you ruled out noise.
HardSystem Design
58 practiced
Explain how you would design a storage layout and access paths for a high-cardinality, high-ingest time-series workload where queries are both range and point lookups by metric-id and time. Discuss retention, downsampling, compaction and query latencies.
EasyTechnical
58 practiced
What cache strategy did you employ (application cache, distributed cache like Redis, materialized views)? Explain cache invalidation rules, caching granularity, and how you maintained correctness under concurrent updates.
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