Scalability and Code Organization Questions

Focuses on designing software and codebases that remain maintainable and performant as features and user load grow. Areas include modularity and separation of concerns, component and API boundaries, when and how to refactor, trade offs between monolith and service oriented architectures, data partitioning and caching strategies, performance optimization, testing strategies, dependency management, code review practices, and patterns for maintainability and evolvability. Interview questions may ask candidates to reason about design choices, identify coupling and cohesion issues, and propose practical steps to evolve an existing codebase safely.

MediumTechnical

28 practiced

You find that several dashboards have duplicated logic for calculating 'active_users' with slightly different filters. Suggest a practical plan to centralize this metric to reduce duplication across code, Looker/Power BI models, and ad-hoc notebooks, while minimizing immediate disruption to dashboards that rely on the current behavior.

MediumTechnical

28 practiced

As a BI analyst, you must decide whether to accept approximate counts (e.g., using HyperLogLog) for a high-cardinality KPI that stakeholders care about. Draft a short framework you would use to evaluate whether approximation is acceptable, including steps to validate and present approximation uncertainty to stakeholders.

EasyTechnical

30 practiced

Write a short policy (2-4 bullet points) for managing breaking changes to metric APIs consumed by many dashboards. The policy should include communication, versioning, deprecation windows, automated compatibility tests, and retrospective analysis.

EasyTechnical

30 practiced

As a BI lead you must convince engineering leadership to invest in a shared component library for dashboard widgets. Prepare a one-paragraph technical argument that summarizes ROI, risk reduction, onboarding benefits, and how you would measure success after 6 months.

EasyTechnical

31 practiced

You're evaluating whether to split a monolithic reports generator into services by business domain (sales, marketing, ops). Provide a decision checklist that includes coupling/ cohesion indicators, deployment needs, cross-team ownership, data sharing patterns, and operational cost. For each checklist item, give a concrete signal that suggests splitting is beneficial.

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