Discover the crucial parameters required to access Azure Machine Learning Designer’s inference pipeline. Learn about model names and REST endpoints for seamless integration.
Table of Contents
Question
You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to access the web service? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. the model name
B. the training endpoint
C. the authentication key
D. the REST endpoint
Answer
C. the authentication key
D. the REST endpoint
Explanation
You can consume a published pipeline in the Published pipelines page. Select a published pipeline and find the REST endpoint of it.
To consume the pipeline, you need:
- The REST endpoint for your service
- The Primary Key for your service
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