Free DP-100 Exam Braindumps (page: 33)

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HOTSPOT (Drag and Drop is not supported)

You train a model by using Azure Machine Learning. You use Azure Blob Storage to store production data.
The model must be re-trained when new data is uploaded to Azure Blob Storage. You need to minimize development and coding.
You need to configure Azure services to develop a re-training solution.
Which Azure services should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

  1. See Explanation section for answer.

Answer(s): A

Explanation:



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?

  1. ScriptRun
  2. ScriptRunConfig
  3. RunConfiguration
  4. Run

Answer(s): B



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.

  1. See Explanation section for answer.

Answer(s): A

Explanation:



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.

  1. See Explanation section for answer.

Answer(s): A

Explanation:






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