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You create a batch inference pipeline by using the Azure ML SDK.
You configure the pipeline parameters by executing the following code:
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
output_action (str): How the output is to be organized. Currently supported values are ‘append_row’ and ‘summary_only’.
‘append_row’ ?All values output by run() method invocations will be aggregated into one unique file named parallel_run_step.txt that is created in the output location.