A model in production has been updated with new training data. The team needs to keep the previous version available for rollback and compare the performance of the new version against the old one. What should they do in Azure Machine Learning?

Retrain the model and store it in Azure Blob Storage without registering it.

Delete the old model and deploy the new model to the same endpoint.

Overwrite the existing model registration with the new model.

Register the new model as a new version and deploy it to a new endpoint, keeping the old endpoint active.

A company has multiple versions of a model and needs to roll back to a previous version in production. What should they do?

Delete the current model from the registry

Update the deployment to use the previous registered model version

A model deployed to an AKS endpoint is showing increased error rates. The team suspects the model version was changed accidentally. What should they do to verify?

Check the deployment's model version in the model registry

Microsoft Certified:Azure AI Fundamentals

Domain 2Objective 3

Describe Azure Machine Learning Capabilities AI-900 Practice Questions (Page 1)

Part of the Describe fundamental principles of machine learning on Azure domain, which accounts for 15–20% of the AI-900 exam. Microsoft does not publish an official question count, but from its 60-minute exam (~25–40 total, ~4–8 in this domain), expect 1–3 from this objective — we provide 47 practice questions to prepare you well beyond it. (estimate)

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47questions here

10free pages

7concepts

15–20%of the exam

Questions 1–5

1application · medium
A team needs to run a large automated ML experiment that will take several hours. They want to minimize cost while still completing the job in a reasonable time. Which compute option should they choose?
Select an answer first
2application · medium
A model in production has been updated with new training data. The team needs to keep the previous version available for rollback and compare the performance of the new version against the old one. What should they do in Azure Machine Learning?
Select an answer first
3application · medium
A company has multiple versions of a model and needs to roll back to a previous version in production. What should they do?
Select an answer first
4foundation · easy
Which Azure service provides a fully managed relational database that can be used as a data source for machine learning?
Select an answer first
5expert · hard
A model deployed to an AKS endpoint is showing increased error rates. The team suspects the model version was changed accidentally. What should they do to verify?
Select an answer first

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Describe Azure Machine Learning Capabilities AI-900 Practice Questions (Page 1)

Questions 1–5

A team needs to run a large automated ML experiment that will take several hours. They want to minimize cost while still completing the job in a reasonable time. Which compute option should they choose?

A model in production has been updated with new training data. The team needs to keep the previous version available for rollback and compare the performance of the new version against the old one. What should they do in Azure Machine Learning?

A company has multiple versions of a model and needs to roll back to a previous version in production. What should they do?

Which Azure service provides a fully managed relational database that can be used as a data source for machine learning?

A model deployed to an AKS endpoint is showing increased error rates. The team suspects the model version was changed accidentally. What should they do to verify?

You’ve practiced. Now get ready to pass.

Keep studying — Describe fundamental principles of machine learning on Azure