Answering myself: I found a link where is explained a workaround to do the exam using M1 Mac. Well, just to summarize, the idea is to follow the instructions to install the software required for the exam in M1 MAc (it will fail), then using Colab to do the exam exercises and then copy the code from Colab into the IDE (PyCharm) and submit the code.
Here is the link: Getting TensorFlow Developer certified | by Pascal Janetzky | Towards Data Science
What I am planning to do is a little bit different.
1 - Install the software for the exam in a very old intel laptop
2 - Do the exam exercises using my M2 Mac
3 - Copy the code from M2 Mac into the old laptop
4 - Send the exercises from the old laptop
I know that none of these solutions are the best, but I don’t know how to do it in a different (right) way.
Has anyone found any solution to this or any reasonable workaround?
Seems there is no possible configuration to install Python 3.8 with Tensorflow 2.9 on M1 still. Has anyone attempted to use a virtual machine with Windows or other OS?
Tensorflow version 2.13 seems to support Apple Silicon natively. Would it be possible to complete the exam with version 2.13, rather than 2.9, which is installed by the plugin?
The plugin should now install TensorFlow 2.13.0 - I did the setup described in Setting_Up_TF_Developer_Certificate_Exam.pdf on an M2 Max mbp and it seems to work. No GPU support though.
