Question
You have a Fabric workspace named Workspace1 that contains a notebook named Notebook1.
In Workspace1, you create a new notebook named Notebook2.
You need to ensure that you can attach Notebook2 to the same Apache Spark session as Notebook1.
What should you do?
- A. Enable high concurrency for notebooks. Correct
- B. Enable dynamic allocation for the Spark pool.
- C. Change the runtime version.
- D. Increase the number of executors.
Explanation
High concurrency mode for notebooks, enabled in the workspace Spark settings, lets multiple notebooks from the same user share one running Spark session, so Notebook2 can attach to the session that Notebook1 uses. Dynamic allocation and the number of executors only change how many compute resources a session gets, and changing the runtime version does not let sessions be shared.
