Managed Service for Apache Spark (formerly Dataproc)
How Google's managed Spark really runs: serverless batches billed in DCUs vs clusters billed per vCPU-hour, primary and Spot secondary workers, YARN autoscaling policies, Flexible VMs and zero-scale clusters, the Lightning Engine, Iceberg through the Lakehouse runtime catalog, and the stockout and preemption drills interviewers probe.
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