You have a Fabric workspace that contains a semantic model named Model1. You need to dynamically execute and monitor the refresh progress of Model1. What should you use?

Dynamic management views (DMVs) in Microsoft SQL Server Management Studio are typically for SQL Server or Azure Analysis Services, and while they can be used for Power BI models, they do not offer direct dynamic execution or programmatic monitoring within a Fabric notebook context.

The Monitoring hub provides a centralized interface for observing item activities, including semantic model refreshes, but it is a UI-based tool for monitoring and does not provide a mechanism for dynamically executing refreshes programmatically from a notebook.

Similar to SSMS, dynamic management views in Azure Data Studio are used for monitoring databases and analysis services but do not provide the dynamic execution and programmatic monitoring capabilities within a Fabric notebook that a semantic link offers.

A semantic link in a notebook allows programmatic interaction with Fabric semantic models using Python (SymPy library). This enables users to dynamically trigger semantic model refreshes using code and subsequently monitor their progress by querying the refresh status, making it ideal for automation and integration within data pipelines.