What should you do?
You use Azure Machine Learning designer to create a training pipeline for a regression model.
You need to prepare the pipeline for deployment as an endpoint that generates predictions asynchronously for a dataset of input data values.
What should you do?
A . Clone the training pipeline.
B. Create a batch inference pipeline from the training pipeline.
C. Create a real-time inference pipeline from the training pipeline.
D. Replace the dataset in the training pipeline with an Enter Data Manually module.
Answer: C
Explanation:
You must first convert the training pipeline into a real-time inference pipeline. This process removes training modules and adds web service inputs and outputs to handle requests.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-deploy
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/enter-data-manually
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