Answer: No

The correct answer is B (No) because the recommendation to use 'Replace with median' does not universally satisfy the requirements for handling null and missing values. The Clean Missing Data module's 'Replace with median' option applies only to columns with Integer or Double data types, as per Microsoft documentation. If the dataset contains categorical columns (text values), using median replacement is inappropriate and could lead to invalid data. The community discussion highlights this limitation, with comments noting that without knowing the data type (continuous vs. categorical), median replacement may not work. While median is robust for numerical data with outliers, it is not suitable for all data types, making the recommendation insufficient to guarantee the requirements are met. Alternative methods like 'Replace with mode' for categorical data or 'Remove entire row' for sparse missingness might be needed, but the question lacks context to confirm these.

Author: LeetQuiz Editorial Team