Microsoft Exam AI-900 Topic 3 Question 54 Discussion

Actual exam question for Microsoft's AI-900 exam

Question #: 54
Topic #: 3

[All AI-900 Questions]

You have an Azure Machine Learning model that uses clinical data to predict whether a patient has a disease.

You clean and transform the clinical data.

You need to ensure that the accuracy of the model can be proven.

What should you do next?

ATrain the model by using the clinical data.

BSplit the clinical data into Two datasets.

CTrain the model by using automated machine learning (automated ML).

DValidate the model by using the clinical data.

Show Suggested Answer

Suggested Answer: D

by Dierdre at Nov 26, 2023, 04:38 PM

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Carmelina

8 months ago

Hmm, I'm not sure automated ML is the way to go here. Seems like a bit of overkill when you just need to prove the accuracy. I'd lean towards option B or D.

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Rosio

8 months ago

Ooh, option C is interesting too - using automated ML could help optimize the model and make sure it's as accurate as possible. Though I guess you'd still need to validate it somehow.

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I agree, validating the model is crucial. I'm thinking option B, splitting the data into two datasets, might be the way to go. That way you can train on one and test on the other to see how it performs.

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Van

8 months ago

D) Validate the model by using the clinical data.

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Juliana

8 months ago

A) Train the model by using the clinical data.

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Sylvia

8 months ago

B) Split the clinical data into Two datasets.

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Ernie

8 months ago

This is a tricky question. I think the key is to ensure the accuracy of the model can be proven. That means we need to validate it somehow, not just train it on the data.

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Microsoft Exam AI-900 Topic 3 Question 54 Discussion

Contribute your Thoughts:

Carmelina

Rosio

Billye

Van

Juliana

Sylvia

Ernie