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Which role should be assigned to a data scientist to allow them to submit jobs in Azure Machine Learning?

  1. Reader

  2. Contributor

  3. AzureML Data Scientist

  4. AzureML Compute Operator

The correct answer is: AzureML Data Scientist

To enable a data scientist to submit jobs in Azure Machine Learning, the appropriate role to assign is the AzureML Data Scientist role. This role is specifically designed to provide the necessary permissions for users to work with datasets, create and run experiments, and manage the Azure Machine Learning resources effectively. The AzureML Data Scientist role encompasses functionalities required for model development and deployment, allowing data scientists to fully utilize Azure Machine Learning services. The other roles listed do not provide the same level of access needed for submitting jobs. For instance, while the Contributor role allows users to create and manage all types of Azure resources, it may pose unnecessary risks or restrictions in a machine learning context where more granular permissions are beneficial. The Reader role is limited to viewing resources and does not allow any job submission or resource management capabilities, which is essential for a data scientist's effective workflow. Meanwhile, the AzureML Compute Operator role is focused more on managing compute resources rather than the job submission aspect that a data scientist requires for their tasks. Therefore, assigning the AzureML Data Scientist role is the most suitable option to enable job submission in Azure Machine Learning.