True
False, no hyperparameters at all
False, there are hyperparameters but they are not set by cross-validation
Depends on the use case
True or False? Linear SVMs have no hyperparameters that need to be set by cross-validation
Hey @debjanihome, by linear svm in the question, the question mean that the data which is completely linearly separable, meaning there are no outliers present, and so there is no need to introduce error term, and hence C =0 or better assume that c is not present.
Happy Lerning 
, and plz close the doubt if you find it is resolved. 