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DP-100 · Question #250

DP-100 Question #250: Real Exam Question with Answer & Explanation

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Explore data and run experiments

Question

You have a Python script that executes a pipeline. The script includes the following code: from azureml.core import Experiment pipeline_run = Experiment(ws, 'pipeline_test').submit(pipeline) You want to test the pipeline before deploying the script. You need to display the pipeline run details written to the STDOUT output when the pipeline completes. Which code segment should you add to the test script?

Options

  • Apipeline_run.get.metrics()
  • Bpipeline_run.wait_for_completion(show_output=True)
  • Cpipeline_param = PipelineParameter(name="stdout",
  • Dpipeline_run.get_status()

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Topics

#Azure ML Pipelines#Pipeline Monitoring#Python SDK#Run Management
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