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Question 17 - DP-100 discussion

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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.
Answers
A.
Clone the training pipeline.
B.
Create a batch inference pipeline from the training pipeline.
Answers
B.
Create a batch inference pipeline from the training pipeline.
C.
Create a real-time inference pipeline from the training pipeline.
Answers
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.
Answers
D.
Replace the dataset in the training pipeline with an Enter Data Manually module.
Suggested 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.

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

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asked 02/10/2024
Damien Fenderson
34 questions
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