Exam DP-100 topic 4 question 52 discussion

I think answer is A. reference:https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-component-pipelines-ui?view=azureml-api-2#submit-pipeline

After click "Designer", you must set "Default compute target" or there will be a red warning showing on the panel. After fixing this, you will be able to access Designer Experiment. So I will take C.

ChatGPT sounds reasonable: To submit a pipeline run from Azure Machine Learning designer, you should first: C. Create a compute cluster. In Azure Machine Learning, you need a compute cluster to run the pipeline. Compute clusters provide the necessary compute resources for training and running machine learning models as part of your pipeline. Once you have a compute cluster set up, you can then create an experiment within the workspace (Option A) and design your pipeline using the Azure Machine Learning designer. After the pipeline is designed, you can submit a pipeline run using the compute cluster you've created. Options B and D are not the first steps for submitting a pipeline run; they come into play after you've created the compute cluster and designed the pipeline.

Answer is A

Could it aslo be B?

of course it is C - compute cluster

Answer should be A

answer should be C. Create a compute cluster. "To run a pipeline, you first have to set default compute target to run the pipeline on." https://learn.microsoft.com/en-us/azure/machine-learning/samples-designer Compute cluster is the compute target supported by Designer.