UC San Francisco Interview Questions
The questions to prepare for UC San Francisco interviews, across all roles. Questions from real interview reports rank first. Updated weekly.
Approach for maintaining data quality and integrity across ETL pipelines.
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A structured approach to planning and running a user research project that identifies user needs and drives product decisions.
UC San FranciscoExplain practical SQL methods for analyzing large datasets, including filtering, aggregation, sampling, and performance-aware query design.
UC San FranciscoAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Benjamin MooreCalculate daily session-level funnel conversion rates using CTEs, CASE WHEN, and date functions.
Use joins, CASE WHEN, and date filtering to compare outcome rates before and after a decision.
HarbourVest PartnersExplain how you track healthcare trends and turn them into sharper account strategy and customer conversations.
UC San FranciscoExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
UC San FranciscoExplain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.
UC San FranciscoIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
UC San Francisco