This question evaluates your ability to reduce dimensionality and select relevant features in datasets with a large number of variables. Recruiters assess your knowledge of techniques like feature importance methods, PCA, and regularization methods. Common pitfalls include failing to mention how you handle multicollinearity or not addressing interpretability concerns. A strong answer involves discussing systematic approaches to feature selection and their trade-offs.
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