Microsoft Exam AI-900 Topic 5 Question 61 Discussion

Actual exam question for Microsoft's AI-900 exam

Question #: 61
Topic #: 5

You plan to use Azure Machine Learning Studio and automated machine learning (automated ML) to build and train a model What should you create first?

Aa Jupyter notebook

Ba Machine Learning workspace

Ca registered dataset

Da Machine Learning designer pipeline

Show Suggested Answer

Suggested Answer: B

by Solange at Apr 12, 2024, 09:35 PM

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Annabelle

6 days ago

You guys are right, the workspace is definitely the first thing you should create. Although, I have to admit, a Jupyter notebook could also be helpful for playing around with the automated ML features. But the workspace is still the essential starting point.

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Freeman

6 days ago

Hmm, I'm leaning towards C) a registered dataset. That's the data we're going to be working with, so it makes sense to get that sorted out first.

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Goldie

7 days ago

Yeah, I was thinking the same thing. Creating the workspace first just makes the most logical sense. Once you have that set up, then you can start working on the other pieces like the dataset and the designer pipeline.

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Cecil

8 days ago

You guys are all wrong. The correct answer is clearly B) a Machine Learning workspace. That's the hub where Cecilrything else happens.

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Claudio

8 days ago

I agree with Adell. The Machine Learning workspace is the foundation you need to build everything else on. Without that, you won't be able to access the automated ML tools or any of the other Azure ML services.

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Emeline

9 days ago

Hold on, what about the Jupyter notebook? Isn't that where we do a lot of the exploratory data analysis and model experimentation?

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Adell

9 days ago

Hmm, this seems like a straightforward question. I think the answer is B) a Machine Learning workspace. That's the core component you need to set up before you can start using Azure Machine Learning Studio and automated ML.

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Hershel

10 days ago

Nah, I disagree. I think the Machine Learning designer pipeline is the way to go. That's where you actually build and train the model, isn't it?

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Leonida

12 days ago

I'm not so sure. I think you might need to have a registered dataset first, before you can do anything else. That's the foundation, isn't it?

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Dewitt

14 days ago

Hmm, this is a tricky one. I suppose the first step would be to create a Machine Learning workspace, right? That seems like the logical starting point to me.

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