You use the Azure Machine Learning SDK in a notebook to run an experiment using a script file in an experiment folder. The experiment fails. You need to troubleshoot the failed experiment. What are tw

Question

Options

• AUse the get_metrics() method of the run object to retrieve the experiment run logs.
• BUse the get_details_with_logs() method of the run object to display the experiment run logs.
• CView the log files for the experiment run in the experiment folder.
• DView the logs for the experiment run in Azure Machine Learning studio.
• EUse the get_output() method of the run object to retrieve the experiment run logs.

• A
  12% (7)
• B
  78% (45)
• C
  3% (2)
• E
  7% (4)

Explanation

Use get_details_with_logs() to fetch the run details and logs created by the run. You can monitor Azure Machine Learning runs and view their logs with the Azure Machine Learning studio. Incorrect Answers: A: You can view the metrics of a trained model using run.get_metrics(). E: get_output() gets the output of the step as PipelineData. https://docs.microsoft.com/en-us/python/api/azureml-pipeline-core/azureml.pipeline.core.steprun https://docs.microsoft.com/en-us/azure/machine-learning/how-to-monitor-view-training-logs

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