HOTSPOT - You create a Python script named train.py and save it in a folder named scripts. The script uses the scikit-learn framework to train a machine learning model. You must run the script as an Azure Machine Learning experiment on your local workstation. You need to write Python code to initiate an experiment that runs the train.py script. How should you complete the code segment? To answer, select the...

Questions › Category: DP-100 › HOTSPOT – You create a Python script named train.py and save it in a folder named scripts. The script uses the scikit-learn framework to train a machine learning model. You must run the script as an Azure Machine Learning experiment on your local workstation. You need to write Python code to initiate an experiment that runs the train.py script. How should you complete the code segment? To answer, select the…

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HOTSPOT -
You create a Python script named train.py and save it in a folder named scripts. The script uses the scikit-learn framework to train a machine learning model.
You must run the script as an Azure Machine Learning experiment on your local workstation.
You need to write Python code to initiate an experiment that runs the train.py script.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
 
















 

Suggested Answer: 
    

Box 1: source_directory -
source_directory: A local directory containing code files needed for a run.
Box 2: script -
Script: The file path relative to the source_directory of the script to be run.
Box 3: environment -
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.scriptrunconfig

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


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