What must you do before you deploy the real-time inference pipeline?

You use the Azure Machine Learning designer to create and run a training pipeline. You then create a real-time inference pipeline.

You must deploy the real-time inference pipeline as a web service.

What must you do before you deploy the real-time inference pipeline?
A . Run the real-time inference pipeline.
B. Create a batch inference pipeline.
C. Clone the training pipeline.
D. Create an Azure Machine Learning compute cluster.

Answer: D

Explanation:

You need to create an inferencing cluster.

Deploy the real-time endpoint

After your AKS service has finished provisioning, return to the real-time inferencing pipeline to complete deployment.

✑ Select Deploy above the canvas.

✑ Select Deploy new real-time endpoint.

✑ Select the AKS cluster you created.

✑ Select Deploy.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-deploy