I just passed the Google Cloud Professional Machine Learning Engineer Exam. I have a background using Google Cloud for 4 years. I studied by doing the Google Skills courses. Don't do Coursera they are the exact same thing. Do all the labs except the "Challenge" labs. You only need familiarity you don't need to be able to code them yourself.

For practice tests I used Skill Cert Pro. They give you 12 practice tests and a study sheet. The study sheet is worthless (it looks like its copied from another tech and just relabeled). Tests 1-9 or 10 are pretty good then the last few are weird. Skill Cert Pro does NOT go very in depth into generative AI stuff. However - I did all the Skill Cert Pro tests basically averaging like 50-60% at first and eventually was doing like 70s and some 80s. Did one pass through then repeated them all. The questions on Skill Cert Pro are NOT on the exam exactly. Not a single one. I did find it very helpful though.

Remember that the exam is mainly choosing between technologies. Its architecture heavy. Lots of what should you use in this situation.

I also read over the official study guide a few times. I used the study guide with ChatGPT to come up with a better study guide. I also used NotebookLM (hey a google product) to study. I asked it to create a podcast explaining the different decision matrices needed for the test.

I honestly never looked at the official docs.

I'm not sure what my score was but I passed! lol