"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).
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This document describes the features, configurations and APIs in Managed Service for Apache Spark that align
with the controls for supported control packages. This document assumes that
you're using Assured Workloads.
Data Boundary for ITAR
Supported services
The following table lists the Managed Service for Apache Spark APIs and versions that meet the requirements of Data Boundary for ITAR.
Service
Version
Status
dataproc.googleapis.com
v1
SUPPORTED
dataproc.googleapis.com
v1beta2
SUPPORTED
Compliance supported regions
Managed Service for Apache Spark is available for Data Boundary for ITAR in the following Google Cloud regions:
us-central1
us-central2
us-east1
us-east4
us-east5
us-south1
us-west1
us-west2
us-west3
us-west4
API fields for sensitive data
Resource: dataproc.googleapis.com/Batch
The following table specifies the API resources and fields that are designed to handle data that is protected under Data Boundary for ITAR.
The following table provides an illustrative list of field categories and specific fields that aren't suitable for sensitive information. To maintain compliance, avoid placing protected data in these fields. For a complete list, contact your Google Cloud representative.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-09-22 UTC."],[],[]]
