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Home/Questions/SQL/Walk through a production incident where data freshness or correctness was at risk. How did you balance immediate mitigation vs. root-cause remediation? What architectural changes would prevent recurrence, and what are the cost vs. reliability trade-offs?

Walk through a production incident where data freshness or correctness was at risk. How did you balance immediate mitigation vs. root-cause remediation? What architectural changes would prevent recurrence, and what are the cost vs. reliability trade-offs?

SQLeasy0.5 min readPremium
Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Adidas
Expert AnswerPremium
108 wordsInterview-ready
Situation: Pipeline failed at 2 AM; source schema change (new required column) broke ingestion. Mitigation vs. Remediation: Quick fix (default column, redeploy) restores service; proper fix (schema validation, evolution policy) prevents recurrence. Architectural Logic: Schema-on-write pipelines fail on evolution; schema validation (e.g., Glue Schema Registry, Avro) catches drift early. Resiliency vs....
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