What setting in Microsoft Fabric allows multiple notebooks to share the same Spark session?

• A. Reserving maximum cores
• B. Enabling high concurrency
• C. Dynamically allocated executors
• D. Creating an environment item

Answer: (B)

High concurrency is the setting that lets multiple notebooks share the same Spark session in Microsoft Fabric. When this mode is on, all notebooks connect to the same SparkSession in the Spark pool, so you can reuse cached data and avoid restarting Spark as you switch between notebooks. SparkSession is the primary entry point for Spark APIs, and sharing it enables faster, more seamless interactive work across notebooks.

Reserving maximum cores just caps resources, not session sharing. Dynamically allocated executors adjust executors based on workload, but don’t enable cross-notebook shared sessions. Creating an environment item relates to packaging runtime settings, not session sharing.