Option B is the correct approach as it leverages the distributed nature of the data lake to parallelize the data validation process, ensuring efficient handling of large volumes of data. Option A may not be scalable for large data lakes. Option C is incorrect as data quality and skew are crucial for analytics. Option D is not scalable and may not identify all issues.