Designing and Implementing a Data Science Solution on Azure
Last Update: 14-Oct-2024
Questions: 428 Answers With Expert Explanation
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Designing and Implementing a Data Science Solution on Azure
Last Update: 14-Oct-2024
Questions: 428
Buy Now
Designing and Implementing a Data Science Solution on Azure
Last Update: 14-Oct-2024
Questions: 428 Answers With Expert Explanation
Buy Now
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You have an Azure Machine Learning workspace. You are running an experiment on your local computer.
You need to ensure that you can use MLflow Tracking with Azure Machine Learning Python SDK v2 to store metrics and artifacts from your local experiment runs in the workspace.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
You create an Azure Machine learning workspace. The workspace contains a folder named src. The folder contains a Python script named script 1 .py.
You use the Azure Machine Learning Python SDK v2 to create a control script. You must use the control script to run script l.py as part of a training job.
You need to complete the section of script that defines the job parameters.
How should you complete the script? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You manage an Azure Machine Learning workspace. You configure an automated machine learning regression training job by using the Azure Machine Learning Python SDK v2. You configure the regression job by using the following script:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
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