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Microsoft AI-300 Exam Dumps Questions and Answers

Exam Code: AI-300
Vendor: Microsoft
Last Update: Sep 18, 2026
Questions: 187 With Expert Explanation
10  Customers Passed Microsoft AI-300
88%  Average Success In Real Exam
92%  Questions came word by word from this dump
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Operationalizing Machine Learning and Generative AI Solutions Questions and Answers

Questions 1

You manage an Azure Machine Learning workspace named workspace!.

You plan to author custom pipeline components by using Azure Machine Learning Python SDK v2.

You must transform the Python code into a YAML specification that can be processed by the pipeline service.

You need to import the Python library that provides the transformation functionality.

Which Python library should you import?

Options:

A.

azure.ai ml.automl

B.

azure.ai.ml.entities

C.

sklearn

D.

mldesigner

Questions 2

You have an Azure Machine Learning (ML) model deployed to an online endpoint.

You need to review container logs from the endpoint by using Azure Ml Python SDK v2. The logs must include the console log from the inference server with print/log statements from the models scoring script.

What should you do first?

Options:

A.

Create an instance of the the MLCIient class.

B.

Create an instance of the OnlineDeploymentOperations class.

C.

Connect by using SSH to the inference server.

D.

Connect by using Docker tools to the inference server.

Questions 3

You manage an Azure Machine learning workspace named workspace1.

You must develop Python SDK v2 code to add a compute instance to workspace1. The code must import all required modules and call the constructor of the Compute instance class.

You need to add the instantiated compute instance to workspace 1.

What should you use?

Options:

A.

constructor of the azure ai.ml. ComputerPowerAction enemy

B.

set resources method of an instance of the azureai.ml. Command class

C.

begin create or update method of a stance of the azure.ai. imLMLCSentdass

D.

contractor of the azure.ai.ml. mLComputeSchedule class