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Answer: Configure the `dataproc:dataproc.scheduler.max-concurrent-jobs` property during the cluster creation process.
The correct method is to set the `dataproc:dataproc.scheduler.max-concurrent-jobs` property at the time of cluster creation. This approach directly configures the cluster's job concurrency limit without resorting to external monitoring or manual intervention. Properties unique to Dataproc are not configured through Compute Engine settings, and adding worker nodes does not affect this configuration. For more details, refer to the [Dataproc documentation](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/cluster-properties).
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How can you limit the maximum number of concurrent jobs in a Cloud Dataproc cluster?
A
Configure the dataproc:dataproc.scheduler.max-concurrent-jobs property during the cluster creation process.
B
Use Cloud Monitoring to observe job counts and employ a Cloud Function to terminate jobs exceeding a set limit.
C
Adjust the computengine:mgi.scheduler.max-concurrent-jobs property when setting up a managed instance group for the cluster.
D
Specify the dataproc:dataproc.scheduler.max-concurrent-jobs property when expanding the cluster with additional worker nodes.