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You are using Azure Machine Learning designer to create and run a training pipeline. This pipeline needs to be executed nightly to generate predictions from a large volume of files stored in a folder, which is defined as a dataset.
What should you do to publish the pipeline as a REST service for the nightly inferencing runs?
A
Create a batch inference pipeline
B
Set the compute target for the pipeline to an inference cluster
C
Create a real-time inference pipeline
D
Clone the pipeline