You manage an Azure Machine Learning workspace named projl You plan to use assets defined in projl to create a pipeline in the Machine Learning studio designer You need to set the Registry name filter to display only the list of assets defined in projl. What should you set the Registry name filter to?

In the Azure Machine Learning designer, the asset library on the left pane lists all available assets, such as datasets and components. This library includes assets from the current workspace as well as from any connected registries, including the built-in system registry. To filter this list and display only the assets that have been created or registered specifically within the current workspace (in this case, proj1), you must use the "Registry name" filter and set its value to workspace. This keyword is the designated identifier for the collection of assets local to the active workspace.

A. proj1: This is the specific name of the workspace instance, not the generic filter keyword used in the designer UI to refer to the current workspace's local assets.

C. azureml-meta: This refers to a system registry used by Azure Machine Learning for metadata and internal components, not for user-defined assets within a specific workspace.

D. azureml: This is the name of the primary system registry that contains the built-in, Microsoft-provided components available across all workspaces, such as "Train Model" or "Evaluate Model".

1. Microsoft Learn. (2023). Use components in Azure Machine Learning designer.

Section: Find assets in the asset library

Quote: "The asset library on the left of the designer canvas contains components and datasets. You can find your workspace assets

and assets in registries under the Asset tab... You can use the registry filter to explore assets in different registries. Workspace is the registry for all assets in your current workspace." This directly confirms that workspace is the correct filter value.

2. Microsoft Learn. (2023). What is Azure Machine Learning designer?

Section: The designer homepage

Content: This document describes the designer interface

including the asset library which contains "custom components" (those in your workspace) and "prebuilt components" (those from the azureml registry)

reinforcing the distinction between workspace-level assets and registry assets.