Microsoft Exam AI-900 Topic 4 Question 71 Discussion

Actual exam question for Microsoft's AI-900 exam

Question #: 71
Topic #: 4

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 Merrilee at Aug 03, 2024, 11:00 PM

Limited Time Offer

25%

Off

Get Premium AI-900 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Kiley

6 months ago

I believe a registered dataset is important, but setting up the workspace should come first for overall project management.

upvoted 0 times

...

Marge

6 months ago

But don't we need a registered dataset to start training the model?

upvoted 0 times

...

Nieves

6 months ago

B) a Machine Learning workspace, definitely. You need that foundational environment set up first before you can start doing anything else with automated ML. Easy peasy!

upvoted 0 times

...

Destiny

6 months ago

A) a Jupyter notebook? Really? I thought that was more for manual model building, not automated ML. Seems like an odd choice here.

upvoted 0 times

...

Hollis

6 months ago

Hmm, I'm not sure. C) a registered dataset might be the best choice to begin with, so you have the data ready to feed into the automated ML process.

upvoted 0 times

Glen

6 months ago

Once we have the dataset registered, we can move on to building and training the model.

upvoted 0 times

...

Dierdre

6 months ago

I agree, having the data ready is important for the automated ML process.

upvoted 0 times

...

Mireya

6 months ago

I think C) a registered dataset is a good starting point.

upvoted 0 times

...

Yasuko

7 months ago

I agree with Kris, a workspace is essential for organizing our project.

upvoted 0 times

...

Kris

7 months ago

I think we should create a Machine Learning workspace first.

upvoted 0 times

...

Colton

7 months ago

D) a Machine Learning designer pipeline sounds like the way to go. That's where I'd start to build and train the model, right?

upvoted 0 times

Rodolfo

6 months ago

That's correct! The pipeline is where you will build and train the model.

upvoted 0 times

...

Jettie

7 months ago

After that, you can create a Machine Learning designer pipeline.

upvoted 0 times

...

Mariko

7 months ago

Yes, you should create a Machine Learning workspace first.

upvoted 0 times

...

Kanisha

7 months ago

Yes, we need both a workspace and a dataset, but the workspace should come first for overall project management.

upvoted 0 times

...

Carin

7 months ago

But don't we also need to create a registered dataset to train our model?

upvoted 0 times

...

Sean

7 months ago

I agree with Nidia, a workspace is essential for organizing our project.

upvoted 0 times

...

Gerri

7 months ago

I think the correct answer is B) a Machine Learning workspace. It seems like the most logical first step to set up the environment for automated ML.

upvoted 0 times

Narcisa

7 months ago

Finally, we can use automated ML to find the best model for our dataset.

upvoted 0 times

...

Felicidad

7 months ago

After that, we can explore different models and algorithms to train our data.

upvoted 0 times

...

Margot

7 months ago

Once the workspace is created, we can start importing and preparing our data.

upvoted 0 times

...

Tammara

7 months ago

I agree, setting up the workspace is essential for using Azure Machine Learning Studio.

upvoted 0 times

...

Nidia

7 months ago

I think we should create a Machine Learning workspace first.

upvoted 0 times

...