Khan Cloud Solutions Data Scientist Interview Questions
The questions to prepare for a Khan Cloud Solutions Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Write a query utilizing window functions such as ROWNUMBER or DENSERANK to identify the top three active users per region over the last quarter. Treat use...
Calculate monthly cohort retention using date-based cohorts, aggregation, and window functions.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
Assess whether a statistically significant but small A/B test lift is credible, practically meaningful, and safe to ship.
Build a systematic process to validate, decompose, and explain a sudden 10% drop in core engagement.
Define a success metric for a new feature that captures real user value, not just raw usage.
Identify the causes of a quarterly engagement decline through metric validation, decomposition, segmentation, and trend analysis.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
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