Answer: No

The question asks whether using the 'Remove entire row' option in the Clean Missing Data module satisfies the requirement to 'detect and fix' null and missing values. While the module does technically detect missing values and removing rows is one available option, the term 'fix' implies preserving and correcting data rather than deleting it entirely. The community discussion highlights that removing entire rows for isolated null values can introduce bias, reduce dataset size, and is generally not the optimal approach unless missing data is completely random. Microsoft's documentation emphasizes data preservation through methods like mean/median/mode replacement or custom values. Although 75% of community answers selected 'Yes' (A), the more nuanced reasoning from highly upvoted comments (e.g., klowqw with 8 upvotes, vkm_97 with 2 upvotes) and best practices favor 'No' (B), as deletion does not align with the goal of 'fixing' values while maintaining data integrity.

Author: LeetQuiz Editorial Team