Top 50 outliers Interview Questions
The most frequently asked outliers questions across all roles and companies, ranked by real interview frequency. Updated daily.
Identify transactions with missing fields or store-level amount outliers using PostgreSQL data-quality logic.
Walmart de México y CentroaméricaClassify missing and statistically unusual financial transactions using PostgreSQL aggregates, joins, and CASE logic.
BlackRock
United Auto CreditClassify missing and anomalous marketing spend, then produce bounded cleaned values using PostgreSQL.
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Explain a practical preprocessing strategy for missing values and outliers before training a supervised learning model.
Publicis Production
PaytmAAutoZoneAssess linear regression assumptions using residual diagnostics, statistical tests, and corrective modeling choices.
GenpactTThoucentric
RealtorClean missing values and outliers in a large pandas dataset while avoiding leakage and preserving useful signal.
Navy Federal Credit UnionImpute missing values and cap numeric outliers using medians, IQR bounds, and categorical modes.
Product & DesignUse quartiles and the IQR rule to identify numeric outliers and return the dataset with those values removed.