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A team needs to ensure that every regional report uses the same visuals, measures, and layout but connects to a different data source. Which Power BI asset type best fits this requirement?
Power BI template (.pbit)
Power BI data source file (.pbids)
Shared semantic model with DirectQuery
An analytics team uses Git integration to version-control their Fabric workspace. A developer commits changes to a semantic model, but the workspace shows a conflict. What does a conflict indicate?
The same item changed in both the workspace and the repository since the last sync.
The workspace contains items that don't exist in the repository.
The Git provider rejected the connection because of insufficient permissions.
Before deploying a semantic model to production, an analyst wants to verify that all relationships are valid and no orphaned foreign keys exist. Which SemPy function identifies relationship violations?
list_relationship_violations()
list_relationships()
evaluate_measure()
A team configures a deployment pipeline with development, test, and production stages. The development workspace connects to a test database, but production must connect to the live database. How should the team handle this difference?
Configure a data source deployment rule that changes the connection when deploying to the production stage.
Manually update the data source connection in the production workspace after each deployment.
Create separate semantic models for each stage with different hardcoded connection strings.
A semantic model depends on upstream data in a lakehouse that must finish loading before the model refreshes. An analyst currently schedules the model refresh one hour after the lakehouse load, but sometimes the load takes longer and the model refreshes against incomplete data. Which approach solves this problem?
Use a Data Factory pipeline with a semantic model refresh activity that runs after the lakehouse load succeeds.
Schedule the semantic model refresh two hours after the lakehouse load instead of one.
Enable real-time refresh on the semantic model so it always has current data.
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