Automated Reporting & Report Development Questions
Build automated reports that refresh on schedule. Understand refresh schedules, data pipeline integration, and deployment to production. Create parameterized reports for different stakeholder needs. Know how to version control and manage report changes.
MediumTechnical
0 practiced
You own a suite of operational reports. Describe a set of automated data quality checks and reconciliation tests you would implement to ensure report accuracy: include source-to-target reconciliations, schema checks, null/uniqueness checks, distribution-based anomaly detection, and escalation patterns for failures.
HardSystem Design
0 practiced
Propose an architecture to serve interactive aggregated queries from a petabyte-scale dataset while delivering sub-5-second response for common analytical queries. Discuss choice of storage (columnar files), compute/query engines, pre-aggregation strategies, caching tiers, serving databases (e.g., ClickHouse, Druid), and strategies to keep aggregates fresh with acceptable latency.
MediumTechnical
0 practiced
Compare using a live connection to a data source versus using an extracted snapshot for BI dashboards. Discuss trade-offs in freshness, concurrency support, performance, security, cost, and scalability, and give two example scenarios where each approach is preferred.
MediumTechnical
0 practiced
Given table transactions(transaction_id INT, user_id INT, amount DECIMAL, occurred_at TIMESTAMP), write an efficient SQL query to identify duplicate transactions within a 1-hour window per user where the same amount appears more than once. Return user_id, amount, cnt, earliest_ts, latest_ts for duplicates occurring in the last 30 days.
HardSystem Design
0 practiced
Design an automated reporting pipeline for daily A/B test dashboards: ingest experiment events and assignment records, join exposures to outcomes, compute per-metric lifts with confidence intervals, and publish summarized dashboards. Address data correctness, which statistical test you would use, how to handle unbalanced samples and early stopping, and how to alert when tests meet pre-defined criteria.
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