Certification Exam: Custom activation functions


I was searching for this topic in the forum and until now I didn’t find an answer. Sorry if this is somewhere here, but I couldn’t find.

Now, let’s go with the question. I’ve planned to try the certification exam. I was digging into tensorflow in the last year, and I think i would be able to pass it. But one question arise when trying “simple” regression models. Could I use custom activation functions as, for example,…

tf_custom = lambda x: tf.math.pow(x,2)

Are these activations allowed during the exam?