You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
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A. B. C. D.CD
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
https://docs.microsoft.com/en-in/learn/modules/create-regression-model-azure-machine-learning-designer/deploy-serviceWhen publishing an inference pipeline using Azure Machine Learning designer, you need to specify the parameters required to consume the pipeline. The two parameters required to consume the pipeline are the REST endpoint and the authentication key.
The REST endpoint is the URL that you use to send requests to the published pipeline. The endpoint is unique to each published pipeline and is generated when the pipeline is published. You need to use this endpoint to send data to the pipeline and receive predictions from it.
The authentication key is a secret token that you need to provide to authenticate your requests. The key ensures that only authorized clients can access the published pipeline. You can find the authentication key in the published pipeline's properties in Azure Machine Learning designer.
The model name and training endpoint are not required to consume the published pipeline. The model name is used to identify the model that was used to create the pipeline, and the training endpoint is used to submit data for training the model. These parameters are not needed when consuming the pipeline.
In summary, when consuming a published inference pipeline in Azure Machine Learning designer, you need to use the REST endpoint to send requests and receive predictions and the authentication key to authenticate your requests.