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As the lead ML engineer on a mission-critical project for analyzing massive datasets with Apache Spark, what is the fastest method to set up a robust environment that enables your team to rapidly prototype Spark models using Jupyter notebooks?
A
Set up a Vertex AI Workbench instance with a Spark kernel.
B
Use Colab Enterprise with a Spark kernel.
C
Set up a Dataproc cluster with Spark and use Jupyter notebooks.
D
Configure a Compute Engine instance with Spark and use Jupyter notebooks.
