Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You are designing a Data Factory pipeline in a Microsoft Fabric workspace. One Spark notebook accepts two parameters, sourceTable and targetTable, which are read in the notebook by using dbutils.widgets.get(). Each night the pipeline must run the notebook once for every table name contained in a pipeline array parameter, without duplicating notebook code. Which pipeline design should you implement?

  • Add a ForEach activity that loops over the array parameter and, inside the loop, invoke a single Notebook activity whose base parameters use dynamic expressions such as @item() to pass the current table names.

  • Insert a Copy Data activity that uses a parameterized source dataset for each table and calls the notebook indirectly through a linked service.

  • Create one Notebook activity per table and link them sequentially in the pipeline, setting fixed parameter values in each activity.

  • Pass the entire array as a single comma-separated string to the Notebook activity and split the string inside the notebook to process all tables in one run.

Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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