"Managed Service for Apache Spark" is the new name for the product formerly known as "Dataproc on Compute Engine" (cluster deployment) and "Google Cloud Serverless for Apache Spark" (serverless deployment).
Managed Service for Apache Spark FedRAMP compliance
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Managed Service for Apache Spark lets you run data processing workloads that meet FedRAMP High and FedRAMP Moderate compliance standards. To maintain compliance across your environments, you must satisfy specific operational and configuration requirements.
About Managed Service for Apache Spark FedRAMP compliance
FedRAMP compliance applies only to
installed components.
Optional components or components installed through initialization
actions aren't covered under FedRAMP compliance.
To use Managed Service for Apache Spark in alignment with FedRAMP Moderate or High
levels hosting, you must use Assured Workloads and Assured Support
(High only).
Maintain Managed Service for Apache Spark FedRAMP compliance
Maintain FedRAMP compliance by updating your clusters to use
Managed Service for Apache Spark image version 2.3 or later.
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