Azure Data Scientists Associate Practice Exam

What is required to run the pipeline against test data in Azure Machine Learning Designer?

1. Click 'Deploy' on Microsoft Azure

2. Click 'Submit' on the designer canvas

3. Configure the REST API

4. No action is needed, it runs automatically

The correct answer is: Click 'Submit' on the designer canvas

To run the pipeline against test data in Azure Machine Learning Designer, the necessary action is to click 'Submit' on the designer canvas. This action initiates the execution of the pipeline workflow as designed by the user. When 'Submit' is clicked, it triggers the run of all the modules configured in the pipeline, allowing execution of the defined steps using the input data provided. This step is crucial for starting the process of data transformation, model training, or any other analytics workflow established in Azure Machine Learning Designer. The other choices do not represent the required action to execute a pipeline in the context of the Designer. Deploying the pipeline is typically related to operationalizing it for production use or exposing it as a service, and configuring the REST API pertains to integrating the model or service post-deployment. The notion that no action is needed for the model to run automatically contradicts the fundamental process within Azure Machine Learning, which necessitates user initiation through submission to start processing work.