A data engineering team runs many small interactive notebooks in a Fabric workspace throughout the day. Each notebook currently starts its own Spark session, and the team complains about repeated 15-to-20 second session startup delays. You want to reduce startup latency and improve resource utilization by allowing multiple notebooks to share the same Spark application, while keeping each notebook's variables and state isolated. Which workspace/environment configuration should you enable?