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# 向配额共享提交作业
<a name="submit-job-quota-share"></a>

配额管理任务队列要求所有作业在提交作业时指定配额份额。要向配额共享提交任务，请在`quotaShareName`中指定[SubmitServiceJob](https://docs.aws.amazon.com/batch/latest/APIReference/API_SubmitServiceJob.html)。`preemptionConfiguration`可以选择提供 A 来限制在任务尝试进入之前的抢占尝试次数。`FAILED`要限制工作经历的抢占次数，请在提交工作时将其设置`preemptionRetriesBeforeTermination`[ServiceJobPreemptionConfiguration](https://docs.aws.amazon.com/batch/latest/APIReference/API_ServiceJobPreemptionConfiguration.html)在内。

## 使用提交作业 AWS CLI
<a name="submit-job-quota-share-cli"></a>

以下示例使用**submit-service-job**命令向配额共享提交任务。

```
aws batch submit-service-job \
    --job-name "my-sagemaker-training-job" \
    --job-queue "my-sagemaker-job-queue" \
    --service-job-type "SAGEMAKER_TRAINING" \
    --quota-share-name "my_quota_share" \
    --timeout-config '{"attemptDurationSeconds":3600}' \
    --scheduling-priority 5 \
    --service-request-payload '{\"TrainingJobName\": \"sagemaker-training-job-example\", \"AlgorithmSpecification\": {\"TrainingImage\": \"123456789012.dkr.ecr.us-east-1.amazonaws.com/pytorch-inference:1.8.0-cpu-py3\", \"TrainingInputMode\": \"File\", \"ContainerEntrypoint\":  [\"sleep\", \"1\"]}, \"RoleArn\":\"arn:aws:iam::123456789012:role/SageMakerExecutionRole\", \"OutputDataConfig\": {\"S3OutputPath\": \"s3://example-bucket/model-output/\"}, \"ResourceConfig\": {\"InstanceType\": \"ml.m5.large\", \"InstanceCount\": 1, \"VolumeSizeInGB\": 1}}'"
```