What is different when fitting a lasso regression versus using glm$()($unpenalized regression$)?$

A$.$ you have to make sure $p(the$ number $of$ predictors $is$ less than the the number $of$ observations$)$ when using regularization

$B.$ you $no$ longer need $(or$ want$)$ a reference level for factors

Question $2$