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.








 

Suggested Answer: C

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.
Incorrect Answers:
A: Use the Enter Data Manually module to create a small dataset by typing values.
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

This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


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