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Microsoft AI-300 Exam Syllabus Topics:

Microsoft Operationalizing Machine Learning and Generative AI Solutions Sample Questions:

1. You have an Azure subscription named Sub1 that contains an Azure Machine Learning workspace named Workspace1. Workspace1 contains the following assets:
- a registered MLflow model named Model1
- an online endpoint named Endpoint1
Outbound network connectivity from Endpoint1 is blocked.
You need to deploy Model1 to Endpoint1.
What should you do first?

A) In Workspace1, create a linked service.
B) In Sub1, create an Azure Machine Learning registry.
C) In Sub1, create a private endpoint.
D) In Workspace1, create a package.

2. A company's platform engineers manage the resource settings and governance of Microsoft Foundry.
Developers must be able to create and update project assets but must not be able to change resource-level configurations.
You need to enforce least privilege access for the engineers and developers.
Which two actions should you perform? Each correct answer presents part of the solution.
Choose two.
NOTE: Each correct selection is worth one point.

A) Assign a resource-level Azure AI Administrator role to the platform engineers.
B) Assign the Azure AI Developer role to the developers.
C) Share a single API key across all teams.
D) Disable Microsoft Entra ID authentication for the Microsoft Foundry resource.

3. A team manages an Azure Machine Learning workspace where they deploy models to online endpoints.
The team needs to introduce a new version of a model to production without disrupting existing users.
The team must validate the new version before full rollout.
You need to reduce risk during deployment.
What should you do?

A) Route all traffic to the new deployment.
B) Deploy the model to a batch endpoint.
C) Replace the existing endpoint.
D) Split traffic between deployments.

4. Hotspot Question
You create an Azure Machine Learning workspace and install the MLflow library.
You need to log different types of data by using the MLflow library.
Which method should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

5. You create a workspace by using Azure Machine Learning Studio.
You must run a Python SDK v2 notebook in the workspace by using Azure Machine Learning Studio. You must preserve the current values of variables set in the notebook for the current instance.
You need to maintain the state of the notebook.
What should you do?

A) Change the current kernel.
B) Stop the current kernel.
C) Change the compute.
D) Stop the compute.

Solutions: