Free DP-100 Exam Braindumps
Designing and Implementing a Data Science Solution on Azure Questions 126–130 (page: 27)

You use the Azure Machine Learning SDK for Python v1 and notebooks to train a model. You create a compute target, an environment, and a training script by using Python code.
You need to prepare information to submit a training run.
Which class should you use?

HOTSPOT (Drag and Drop is not supported)

You have an Azure Machine Learning workspace.
You need to use the Azure Machine Learning SDK for Python to create and register the Azure Data Lake Storage Generation 2 datastore for the workspace.
How should you complete the following code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

HOTSPOT (Drag and Drop is not supported)

You manage an Azure Machine Learning workspace. You create a training script named sample_training_script.py. The script is used to train a predictive model in the conda environment defined by a file named environment.yml.
You need to run the script as an experiment.
How should you complete the following code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

You have an Azure Machine Learning workspace. You are connecting an Azure Data Lake Storage Gen2 account to the workspace as a data store.
You need to authorize access from the workspace to the Azure Data Lake Storage Gen2 account.
What should you use?

DRAG DROP (Drag and Drop is not supported)

You provision an Azure Machine Learning workspace in a new Azure subscription.
You need to attach Azure Databricks as a compute resource from the Azure Machine Learning workspace.
Which four 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.