What is the difference between a parametric and a non$-$parametric test in statistics?

$($a$)$ Parametric tests require the data to be normally distributed, non$-$parametric tests do not.

$($b$)$ Parametric tests are more powerful than non$-$parametric tests.

$($c$)$ Parametric tests are used for qualitative data, non$-$parametric tests are used for quantitative data.

$($d$)$ There is no difference, they can be used interchangeably.??