I seems that the AMI that originally provided by our lecturer is required the user to create a new instances with using at least 128GB storage.
Well, I think I got the point why they required us to use that huge kind of storage, and the reason was laid on the datasets. I found some datasets from kaggle or another sources that required us to download up to 50GB, and if you are interested to play around with some other datasets, 128GB are quite an adequate one. But if you don’t interest with it and want to focus on learning from here, I think 30GB are good enough.
So, in this case, I think it would be better to use the modified one, which allow us to create an instance with smaller storage, which only asked us to create at least 30GB.
Furthermore to answer your prev. question. It would be better if you just stop the instance instead of terminating it. Literally, if you terminate it, it means that you delete it and you need to create a new one again.
Anyway, I’m using the modified one with 30GB, because the datasets that we will use on here won’t be really huge and we may find some other smaller datasets for practice actually.