you are kind of right.
but no necessarily.
domain randomization : when you widen the range of your training data parameters to make your model more generalized.
this can be done for any purpose. (even if you are not doing domain adaptation).
domain adaptation : when you train your model on data from a certain domain (lets say to detect cars) and then test it ...