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You create a batch inference pipeline using the Azure ML SDK. You configure the pipeline parameters by executing the following code:
pipeline_parameters = {
"input_path": input_dataset.as_named_input("input").as_mount(),
"output_path": output_dataset.as_mount()
}
pipeline_parameters = {
"input_path": input_dataset.as_named_input("input").as_mount(),
"output_path": output_dataset.as_mount()
}
You need to obtain the output from the pipeline execution. Where will you find the output?_

A
the digit_identification.py script_
B
the debug log
C
the Activity Log in the Azure portal for the Machine Learning workspace
D
the Inference Clusters tab in Machine Learning studio
E
a file named parallel_run_step.txt located in the output folder