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

System Design/Architectureeasy0.3 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

🤖 Analyze Your Answer

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

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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 Answer

62 words

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. COST: Regional compute; central dashboard; reconcile only critical datasets.

⚡

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.'

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