You train and register a model in your Azure Machine Learning workspace.
You must publish a pipeline that enables client applications to use the model for batch inferencing. You must use a pipeline with a single ParallelRunStep step that runs a Python inferencing script to get predictions from the input data.
You need to create the inferencing script for the ParallelRunStep pipeline step.
Which two functions should you include? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A . run(mini_batch)
B . main()
C . batch()
D . init()
E . score(mini_batch)
Answer: AD
Explanation:
Reference: https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/machine-learning-
pipelines/parallel-run