Answer-first summary for fast verification
Answer: azureml://jobs/
The correct answer is D because in Azure Machine Learning SDK v2, when registering a model from a job output (including MLflow artifacts), the proper URI scheme is 'azureml://jobs/'. This format specifically references artifacts from job outputs, which aligns with the scenario where the model artifact resides in a named output of a training job. Option A ('t//model/') is invalid syntax. Option B ('azureml://registries') is used for model registries, not job outputs. Option C ('mlflow-model/') is not the standard Azure ML SDK v2 URI format for job artifacts.
Author: LeetQuiz Editorial Team
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You have an Azure Machine Learning workspace named WS1.
You plan to use Azure Machine Learning SDK v2 to register a model from an MLflow artifact. The artifact is located in a named output of a training job.
You need to identify the correct path syntax to reference the model during registration.
Which syntax should you use?
A
t//model/
B
azureml://registries
C
mlflow-model/
D
azureml://jobs/
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