The correct options are Serverless Spark Compute and Synapse Analytics Spark Pool.

Serverless Spark Compute is a managed, on demand Spark runtime integrated into Azure Machine Learning that lets you run distributed interactive Spark sessions from notebooks without provisioning and managing cluster infrastructure.

Synapse Analytics Spark Pool provides a dedicated Spark runtime in Azure Synapse that can be used for interactive distributed data exploration and cleaning and it can be integrated or accessed from notebooks for large scale Spark workloads.

Notebook VM is incorrect because it refers to a single node notebook environment and not to a managed distributed Spark service. Note that the term Notebook VM is a legacy name and Azure Machine Learning now uses Compute Instances for single node notebooks which still do not provide a Spark cluster.

Google Cloud Dataproc is incorrect because it is a Google Cloud service and not an Azure compute option available inside an Azure Machine Learning workspace.

AML Compute Cluster is incorrect because Azure Machine Learning compute clusters are general purpose compute targets for training and jobs and they do not provide a managed Spark runtime for interactive distributed Spark notebooks.

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