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Propose a solution for monitoring and maintaining data quality across multiple regions.

System Design/Architectureeasy0.3 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in System Design/Architecture
Difficulty Split
15E|6M|158H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Adidas
Interview Pro Tip

Red Flag: Single-region solution for multi-region. Pro-Move: 'We use Soda Core with regional runners; centralized dashboard; weekly cross-region reconciliation for compliance datasets.'

Key Concepts Tested
spark
Expert AnswerPremium
62 wordsInterview-ready
Centralized rules, regional execution. (1) RULES—Define in config (Great Expectations, Soda) versioned in Git. (2) REGIONAL EXECUTION—Run checks per region (Lambda, Spark) against regional data; report to central dashboard. (3) CROSS-REGION—Compare aggregates, checksums for replicated data. (4) ALERTING—Slack/PagerDuty with severity; escalation. (5) SLAs—Per-region SLAs in Grafana. SCALABILITY: Rules as code; deploy via GitOps....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Adidas. The answer also includes follow-up discussion points that interviewers commonly explore.

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