Answer-first summary for fast verification
Answer: Register the model with the workspace.
The question asks for the first action needed to generate a Responsible AI dashboard using the Azure Machine Learning studio UI. According to Azure documentation and the community discussion consensus (100% agreement on B, with upvoted comments confirming this), the model must be registered in the Azure Machine Learning workspace before generating a Responsible AI dashboard. This is because the Responsible AI dashboard requires access to the registered model metadata and artifacts. Option A (deploy to managed online endpoint) is not necessary for dashboard generation. Option C (create model explanations) is part of the dashboard functionality but comes after registration. Option D (convert from MLflow format) is unnecessary as Azure ML natively supports MLflow models.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You have an Azure Machine Learning workspace containing an MLflow-formatted regression model trained on tabular data. You need to create a Responsible AI dashboard for this model using the Azure Machine Learning studio UI.
What is the first action you must take?
A
Deploy the model to a managed online endpoint.
B
Register the model with the workspace.
C
Create the model explanations.
D
Convert the model from the MLflow format to a custom format.
No comments yet.