Business Intelligence Background Questions
A summary of business intelligence experience including the BI platforms and tools used, types of dashboards and reports built, data volumes and sources, analytical methods, stakeholder consumption patterns, and measurable business outcomes. Candidates should explain how BI efforts influenced decisions, examples of ETL or modeling work, and any leadership or ownership of BI initiatives.
HardSystem Design
29 practiced
You need to migrate BI storage from a legacy on-prem warehouse to a cloud OLAP store with minimal downtime and consistent dashboards. Outline a migration plan: data sync strategies, dual-writing vs backfill, validation checks, cutover steps, monitoring, and rollback scenarios.
MediumTechnical
29 practiced
Propose a retention policy for high-resolution telemetry (metrics and logs) that balances cost and troubleshootability. Include hot vs cold tiering, rollup strategies, an example retention schedule (e.g., 1s for 30d, 1m for 365d), and how to handle queries spanning tiers.
HardTechnical
23 practiced
You are asked to lead the BI initiative for reliability across multiple teams. Describe how you would build a 6-month roadmap that prioritizes SRE needs, defines measurable OKRs, secures cross-functional buy-in, and demonstrates ROI to leadership in the first 6 months. Include milestones, risks, and staffing considerations.
MediumTechnical
21 practiced
Implement a Python (pandas) routine that scans a 'metrics' table (columns: service, ts TIMESTAMP, value FLOAT) and reports gaps greater than 30 minutes in the time series per service over the last 7 days. Describe memory considerations and how to convert this approach to a streaming/partitioned job for very large datasets.
HardTechnical
24 practiced
Design a cross-team SLA dashboard that aggregates SLAs across microservices into a product-level customer-facing reliability score. Discuss weighting services by customer impact, representing partial outages, dependency graph modeling, and how to handle cascading failures in the aggregated score.
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