Amazon SageMaker Service Update: This release adds support for Amazon EMR Serverless applications in SageMaker Studio for running data processing jobs.

Author: AWS

.changes/next-release/feature-AmazonSageMakerService-d170ff1.json

@@ -0,0 +1,6 @@
+{
+    "type": "feature",
+    "category": "Amazon SageMaker Service",
+    "contributor": "",
+    "description": "This release adds support for Amazon EMR Serverless applications in SageMaker Studio for running data processing jobs."
+}

services/sagemaker/src/main/resources/codegen-resources/service-2.json

@@ -5173,6 +5173,11 @@
       },
       "documentation":"<p>Lists a summary of the properties of an association. An association is an entity that links other lineage or experiment entities. An example would be an association between a training job and a model.</p>"
     },
+    "AssumableRoleArns":{
+      "type":"list",
+      "member":{"shape":"RoleArn"},
+      "max":5
+    },
     "AsyncInferenceClientConfig":{
       "type":"structure",
       "members":{
@@ -18006,6 +18011,20 @@
       "max":10,
       "pattern":"\\d+"
     },
+    "EmrSettings":{
+      "type":"structure",
+      "members":{
+        "AssumableRoleArns":{
+          "shape":"AssumableRoleArns",
+          "documentation":"<p>An array of Amazon Resource Names (ARNs) of the IAM roles that the execution role of SageMaker can assume for performing operations or tasks related to Amazon EMR clusters or Amazon EMR Serverless applications. These roles define the permissions and access policies required when performing Amazon EMR-related operations, such as listing, connecting to, or terminating Amazon EMR clusters or Amazon EMR Serverless applications. They are typically used in cross-account access scenarios, where the Amazon EMR resources (clusters or serverless applications) are located in a different Amazon Web Services account than the SageMaker domain.</p>"
+        },
+        "ExecutionRoleArns":{
+          "shape":"ExecutionRoleArns",
+          "documentation":"<p>An array of Amazon Resource Names (ARNs) of the IAM roles used by the Amazon EMR cluster instances or job execution environments to access other Amazon Web Services services and resources needed during the runtime of your Amazon EMR or Amazon EMR Serverless workloads, such as Amazon S3 for data access, Amazon CloudWatch for logging, or other Amazon Web Services services based on the particular workload requirements.</p>"
+        }
+      },
+      "documentation":"<p>The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.</p>"
+    },
     "EnableCapture":{"type":"boolean"},
     "EnableInfraCheck":{"type":"boolean"},
     "EnableIotRoleAlias":{"type":"boolean"},
@@ -18446,6 +18465,11 @@
       "type":"string",
       "max":100
     },
+    "ExecutionRoleArns":{
+      "type":"list",
+      "member":{"shape":"RoleArn"},
+      "max":5
+    },
     "ExecutionRoleIdentityConfig":{
       "type":"string",
       "enum":[
@@ -22122,6 +22146,10 @@
         "CodeRepositories":{
           "shape":"CodeRepositories",
           "documentation":"<p>A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.</p>"
+        },
+        "EmrSettings":{
+          "shape":"EmrSettings",
+          "documentation":"<p>The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.</p>"
         }
       },
       "documentation":"<p>The settings for the JupyterLab application.</p>"