Q: 3
You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning. What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
Options
Discussion
A and C tbh, practice tests and the official MS docs highlight those GUI tasks as Enterprise-only back in the day.
A and C tbh. Only the GUI-based stuff like AutoML and ML Designer needed Enterprise, while making datasets or compute was in both tiers. That’s how old exam questions split it up, unless I missed something recent.
B , I remember seeing some official practice where compute setup was tied to Enterprise. Still not super sure since the docs get updated often, maybe check the latest guide if anyone disagrees.
A and C imo since those GUI-based features (AutoML GUI, designer) needed the Enterprise workspace back then. Compute instances and datasets were never restricted to Enterprise, pretty sure. Microsoft changed this later but for exam questions it's about the old split. Let me know if I'm missing a detail here.
Option A and C
Pretty sure it's A and B. Had something like this in a mock and remember needing Enterprise for both GUI-based AutoML (A) and for setting up the compute instance as a workstation (B). C felt more optional, but not 100%. Agree?
A and C tbh, the GUI features were the main thing that set Enterprise apart back then. Compute instances (B) and datasets (D) were always in both tiers I think. Let me know if anyone saw otherwise.
What about B here? I thought compute instances needed Enterprise at one point. Am I confusing it with another Azure feature?
C or D? Not fully convinced it's B since both creating datasets and compute were basic features, but historical exam questions love to trip you up with that. The GUI requirements in A and C usually pointed to Enterprise, not compute or dataset creation. Open to being wrong here if I'm missing something about more recent changes.
I don't think B or D require Enterprise. Historically, only the GUI-based stuff like in A and C (AutoML GUI and the ML Designer) needed an Enterprise workspace. Create compute and upload datasets were always in basic too, even if it feels like they should be advanced. Pretty sure exam questions stick to that old difference, but happy to hear another read on it!
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