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…

Question

Options

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

• A
  3% (1)
• B
  86% (32)
• C
  8% (3)
• D
  3% (1)

Explanation

The correct answer is B: pipeline_run.wait_for_completion(show_output=True). After submitting a pipeline run with Experiment.submit(), the call returns immediately without blocking. To display the STDOUT output when the pipeline completes, you must call wait_for_completion(show_output=True), which blocks execution until the run finishes and streams the output logs to the console. Option A has incorrect syntax (get.metrics() should be get_metrics()). Option C creates a PipelineParameter, which is unrelated to displaying output. Option D (get_status()) only retrieves the current run status string without waiting or displaying logs.

No community discussion yet for this question.