QuestionQ46

VerifiedImplement and manage an analytics solution

You have a Fabric workspace named Workspace1 that includes a notebook named Notebook1.

In Workspace1, you create another notebook named Notebook2.

You need to ensure that Notebook2 can be attached to the same Apache Spark session as Notebook1.

What should you do?

Explanation

High concurrency mode enables compatible Fabric notebooks to share an existing Apache Spark session. Session sharing requires the notebooks to be within the same user boundary and to use matching default Lakehouse and Spark compute settings; notebook libraries must also be compatible. Dynamic allocation, runtime version, and executor count do not enable notebook session sharing.

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