Dataiku Interview Questions
The questions to prepare for Dataiku interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
DataikuIdentify the highest-credit-score 5% of applicants within each state using percentiles and window ranking.
American Credit AcceptanceUse Dijkstra's algorithm to find the minimum-cost route through obstacles and weighted cells in a Dataiku DSS grid.
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Explain how you would balance technical debt reduction with feature delivery when stakeholders want visible progress but engineering risk is rising.
DataikuApproach for maintaining data quality and integrity across ETL pipelines.
DataikuExplain how you used a KPI and supporting metrics to diagnose a product issue and make a concrete product decision.
DataikuHandle client objections by diagnosing the real concern, re-anchoring on value, and advancing the deal.
DataikuApproach for turning user feedback into a well-scoped feature, with clear prioritization, MVP definition, and success metrics.
DataikuDetermine sample size and power for a customer survey or experiment, including MDE, guardrails, and a disciplined decision rule.
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