April Interview Questions
The questions to prepare for April interviews, across all roles. Questions from real interview reports rank first. Updated weekly.
Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
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Explain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.
AprilA framework for connecting user needs to business goals, then making product decisions with clear trade-offs and measurable outcomes.
AprilIdentify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.
AprilApproach for allocating a constrained marketing budget across channels and objectives using ROI, trade-offs, and prioritization.
AprilExplain statistical significance in experiments and how p-values and confidence intervals guide interpretation.
AprilTests your ability to select appropriate metrics based on task type and business or research goals.
AprilCompute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.
Gain Digital
TCS
Zest AIMerge CRM orders with GA events via an identity map to build a customer-level view using joins, window functions, and monthly rollups.
ArtefactRank the top 3 completed rides per vehicle per day using joins, a CTE, and ROW_NUMBER.
Waymo