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DP-100 · Question #430

DP-100 Question #430: Real Exam Question with Answer & Explanation

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Explore data and run experiments

Question

You create an Azure Machine Learning workspace named workspace1. The workspace contains a Python SDK v2 notebook that uses MLflow to collect model training metrics and artifacts from your local computer. You must reuse the notebook to run on Azure Machine Learning compute instance in workspace1. You need to continue to log metrics and artifacts from your data science code. What should you do?

Options

  • AInstantiate the job class.
  • BInstantiate the MLCIient class.
  • CLog in to workspace1.
  • DConfigure the tracking URL.

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Topics

#MLflow#Experiment Tracking#Azure Machine Learning#Compute Instance
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