To verify the sufficiency of bins for numerical features in a Databricks Decision Tree, it's essential to ensure the number of bins is at least equal to the number of distinct category values in the column. This can be achieved by executing a group by operation on the column to tally the unique category values.

• Option A is not directly relevant as it assesses overall model performance rather than bin sufficiency.
• Option B is incorrect because the power of 2 is not a standard or meaningful metric for determining bin adequacy.
• Option C is also not directly relevant, as overfitting pertains to model complexity and training data fit, not specifically to bin count.