Exam DP-100 topic 2 question 85 discussion

Actual exam question from Microsoft's DP-100

Question #: 85
Topic #: 2

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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.

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Suggested Answer:

by chaymat at April 16, 2023, 12:52 p.m.

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orionduo

8 months ago

from azureml.core import ScriptRunConfig, Experiment # create or load an experiment experiment = Experiment(workspace, 'MyExperiment') # create or retrieve a compute target cluster = workspace.compute_targets['MyCluster'] # create or retrieve an environment env = Environment.get(ws, name='MyEnvironment') # configure and submit your training run config = ScriptRunConfig(source_directory='.', script='train.py', arguments=['--arg1', arg1_val, '--arg2', arg2_val], compute_target=cluster, environment=env) script_run = experiment.submit(config)

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Ahmed_Gehad

9 months ago

I think we shall use mlflow now for experiments.

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chaymat

1 year ago

correct

upvoted 3 times

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Exam DP-100 topic 2 question 85 discussion

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orionduo

Ahmed_Gehad

chaymat

SY0-701