Which component allows you to run Spark notebooks and jobs in Fabric?

• A. Notebook
• B. Data Factory Pipeline
• C. Eventstreams
• D. Real-Time Dashboards

Answer: (A)

Running Spark notebooks and jobs in Fabric is provided by the Notebook component. A notebook gives you an interactive workspace to author and execute Spark code (PySpark, Spark SQL, or Scala), connect to a Spark cluster, and run or schedule jobs directly within Fabric. This setup is designed for developing, testing, and running Spark workloads in one place. In contrast, the Data Factory Pipeline is about orchestrating data workflows, Eventstreams handles streaming data, and Real-Time Dashboards focus on visualization—none of these run Spark notebooks directly.