Interface EmrServerlessComputeConfig.Builder

All Superinterfaces:

Buildable, CopyableBuilder<EmrServerlessComputeConfig.Builder,EmrServerlessComputeConfig>, SdkBuilder<EmrServerlessComputeConfig.Builder,EmrServerlessComputeConfig>, SdkPojo

Enclosing class:

EmrServerlessComputeConfig

@Mutable
@NotThreadSafe
public static interface EmrServerlessComputeConfig.Builder
extends SdkPojo, CopyableBuilder<EmrServerlessComputeConfig.Builder,EmrServerlessComputeConfig>

Method Summary

Modifier and Type	Method	Description
EmrServerlessComputeConfig.Builder	executionRoleARN(String executionRoleARN)	The ARN of the IAM role granting the AutoML job V2 the necessary permissions access policies to list, connect to, or manage EMR Serverless jobs.

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFieldNameToField, sdkFields

Method Details

executionRoleARN

EmrServerlessComputeConfig.Builder executionRoleARN(String executionRoleARN)

The ARN of the IAM role granting the AutoML job V2 the necessary permissions access policies to list, connect to, or manage EMR Serverless jobs. For detailed information about the required permissions of this role, see "How to configure AutoML to initiate a remote job on EMR Serverless for large datasets" in Create a regression or classification job for tabular data using the AutoML API or Create an AutoML job for time-series forecasting using the API.

Parameters:

executionRoleARN - The ARN of the IAM role granting the AutoML job V2 the necessary permissions access policies to list, connect to, or manage EMR Serverless jobs. For detailed information about the required permissions of this role, see "How to configure AutoML to initiate a remote job on EMR Serverless for large datasets" in Create a regression or classification job for tabular data using the AutoML API or Create an AutoML job for time-series forecasting using the API.

Returns:

Returns a reference to this object so that method calls can be chained together.