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Answer: workspace
In Azure Machine Learning, when working with the Machine Learning studio designer, the 'Registry name filter' is used to specify which registry or workspace to display assets from. Setting this filter to 'workspace' ensures that only assets defined within the current workspace (proj1 in this case) are shown, rather than assets from other registries or workspaces. This aligns with Azure ML best practices for isolating workspace-specific assets during pipeline creation. The community discussion strongly supports this with 100% consensus on option D and detailed reasoning explaining that 'workspace' filters to the current workspace's assets.
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You have an Azure Machine Learning workspace named proj1. You intend to use assets from this workspace to build a pipeline in the Machine Learning studio designer. To make the Registry name filter show only the assets defined in proj1, what value should you use for the filter?
A
proj1
B
azureml-meta
C
azureml
D
workspace