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Microsoft AI-900 Exam - Topic 3 Question 94 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 94
Topic #: 3
[All AI-900 Questions]

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.

Show Suggested Answer Hide Answer
Suggested Answer: A, C

Note: Enterprise workspaces are no longer available as of September 2020. The basic workspace now has all the functionality of the enterprise workspace.


https://www.azure.cn/en-us/pricing/details/machine-learning/

https://docs.microsoft.com/en-us/azure/machine-learning/concept-workspace

Contribute your Thoughts:

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Tiffiny
1 month ago
B and D seem too basic for enterprise needs.
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Melinda
1 month ago
I’m leaning towards A and C. They both need enterprise features.
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Tamesha
2 months ago
A is good too, but C feels more enterprise-focused.
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Marylin
2 months ago
What about A? Automated experiments need a robust setup.
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Bette
2 months ago
Agreed, C is essential. It simplifies the process.
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Leota
3 months ago
I think C is definitely one. GUI for experiments is key.
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Vonda
3 months ago
I thought you could use the GUI for experiments in basic too!
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Lashaun
3 months ago
B and D are fine in basic workspaces, right?
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Amie
3 months ago
Haha, I bet the person who wrote this question uses Internet Explorer as their main browser.
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Sena
3 months ago
Definitely C and D. The GUI is the best part of Azure ML, why would you not use it?
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James
3 months ago
I thought B was the right answer. Who needs a GUI when you can just write code?
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Otis
4 months ago
C and D are the correct answers. You need an enterprise workspace to use the GUI and designer.
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Pansy
4 months ago
I feel like defining and running experiments with a GUI is more advanced, so I would lean towards C and possibly A, but I’m not completely confident.
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Lamar
4 months ago
I practiced a similar question, and I think creating a compute instance is more basic, so it might not require an enterprise workspace.
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Jolanda
4 months ago
I'm not sure about option A; it sounds like it could be for either workspace, but I remember something about automated ML needing more features.
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Markus
4 months ago
I think option C is definitely one of the tasks for an enterprise workspace since it mentions using the GUI for machine learning experiments.
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Vanesa
4 months ago
I've got this! The enterprise workspace has more robust capabilities for things like running automated ML experiments and using the designer GUI. I'm pretty confident those would be the two tasks that require the enterprise workspace.
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Gary
5 months ago
Okay, I've got a plan. I know the enterprise workspace provides more advanced features, so I'll focus on identifying which tasks from the list require those enterprise-level capabilities. Things like the GUI and automated ML experiments seem like they'd need the enterprise workspace.
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Vincent
5 months ago
I think A is also required for enterprise workspaces.
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Royal
5 months ago
C is definitely one of them!
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Raylene
5 months ago
Wait, can you really not do A in a basic workspace?
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Mila
5 months ago
Hmm, this one seems a bit tricky. I'm not entirely sure what the differences are between the two workspace types. I'll need to do some quick research on the Azure Machine Learning workspace options before I can confidently answer this.
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Lemuel
6 months ago
I think I'll start by reviewing the key differences between basic and enterprise workspaces. The question is asking about specific tasks that require an enterprise workspace, so I'll need to identify those.
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Jesusita
10 days ago
So, A and C are the answers, right?
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Kasandra
16 days ago
Yes, that's another one!
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Veta
21 days ago
What about defining experiments in the designer?
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Jeannine
26 days ago
Definitely! That sounds like a task for enterprise.
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Vesta
1 month ago
I believe using the GUI for automated experiments is one.
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