Microsoft
DP-100 · Question #462
Drag and Drop Question You manage an Azure Machine Learning workspace named workspace1 and a Data Science Virtual Machine (DSVM) named DSMV1. You must run an experiment on DSMV1 by using a Jupyter not
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Drag and Drop Question You manage an Azure Machine Learning workspace named workspace1 and a Data Science Virtual Machine (DSVM) named DSMV1. You must run an experiment on DSMV1 by using a Jupyter notebook and Python SDK v2 code. You must store metrics and artifacts in workspace1. You start by creating Python SDK v2 code to import all required packages. You need to implement the Python SDK v2 code to store metrics and artifacts in workspace1. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Answer:
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Instantiate an object of the Output class.Set the MLflow tracking URI.Instantiate an object of the MLClient class.Retrieve the tracking URI of workspace1.Set the URI parameter of the mlflow.projects.run method.
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Topics
#Azure Machine Learning#Python SDK v2#Experiment Tracking#MLflow