Hello,
I am about to finish this specialization and wanted to know how difficult this TensorFlow Developer Certificate Exam is compared to the material in this course. Or if there is any addition resource I should study before taking the exam. Any information would be greatly appreciated.
Thanks!
Hi @myliu6
Yeah, the course is one of the resources to help you prepare for the exam.
Yet here I have a medium post from @Jean_de who did the same exam he explains the roadmap he took to get certified I think it can be helpful.
Thanks
I just passed the TensorFlow Developer exam yesterday. Came here to follow up to some old threads just to give a hand up to my fellow classmates. Will do so without divulging anything specific from the exam as that would destroy the integrity of the exam and make it worth less to all of us.
I personally found the exam challenging. But probably for reasons that may or may not apply to you. I tend to overanalyze things, and one of the questions that shoulda been slam dunk easy I finished in only ten minutes, but then was getting 0/5 on it for the next 30 minutes, at which point I had to move on because my pace timer dinged! I went back to it later realizing that I was overthinking it… 5/5. Hope that helps because I can’t be more specific. 
It’s also challenging because of the timer and for me personally I don’t do well in those scenarios. I also had a couple environment issues during the exam that were stressful to figure out and debug as I went, burning my precious time. I had already done all the environment setup they advise too, and practiced for a few days with none of these issues in PyCharm before the test… there is a part of me that wonders if they intentionally make these issues to fail people that can’t solve setup issues. I mean, awful as that sounds, it would make a true demonstration of your skills as environment/library conflicts are absolutely a normal occurrence in the life of a developer… but I’m only speculating.
After this class, I didn’t really feel ready for the exam, so I also read chapters 10-16 of “Hands On Machine Learning with Keras and TensorFlow” by Aurelien Geron. I highly recommend it, and he covers some alternative ways to solve these problems, using newer Keras functions that are more GPU-friendly. I also did about two dozen practice tutorials straight from the TensorFlow.org website. I think this hands-on practice really helped me personally.
Good luck!