HOTSPOT - You monitor an Azure Machine Learning classification training experiment named train.classification on Azure Notebooks. You must store a table named table as an artifact in Azure Machine Learning Studio during model training. You need to collect and list the metrics by using MLflow. How should you complete the code segment? To answer, select the appropriate option in the answer area. NOTE: Each correct selection is worth one point....

Questions › Category: DP-100 › HOTSPOT – You monitor an Azure Machine Learning classification training experiment named train.classification on Azure Notebooks. You must store a table named table as an artifact in Azure Machine Learning Studio during model training. You need to collect and list the metrics by using MLflow. How should you complete the code segment? To answer, select the appropriate option in the answer area. NOTE: Each correct selection is worth one point….

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Admin Staff asked 4 months ago

HOTSPOT
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You monitor an Azure Machine Learning classification training experiment named train.classification on Azure Notebooks.
You must store a table named table as an artifact in Azure Machine Learning Studio during model training.
You need to collect and list the metrics by using MLflow.
How should you complete the code segment? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.
 
















 

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This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


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