True or false?

a. An ordinary regression model that treats Y as normally distributed is a special case of a GLM, with a normal random component and identity link function.

b. With a GLM, Y does not need to have a normal distribution and one can model a function of the mean of Y instead of just the mean itself, but to get ML estimates the variance of Y must be constant at all values of explanatory variables.