Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You build a pipeline in Microsoft Fabric that executes a Spark notebook located in a Lakehouse. The notebook expects an input parameter named tableName. Inside the pipeline you define a parameter called targetTable. In the notebook activity's Parameters tab, you must set the Value so that the pipeline parameter is passed to the notebook at runtime. Which dynamic expression should you use?
In Fabric pipelines, dynamic expressions follow the same pattern used in Azure Data Factory. To reference a pipeline-level parameter inside an activity, you use the expression form @pipeline().parameters.. Using this syntax passes the runtime value of the pipeline parameter to the activity. @activity('Notebook1').output.targetTable would read output from a previous activity, @parameters('targetTable') is the syntax for ARM templates, and @notebook().parameters.targetTable is not a valid function. Therefore, @pipeline().parameters.targetTable is the correct expression.
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Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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