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Merge pull request #239129 from santiagxf/santiagxf/azureml-batch-patch2
Update how-to-use-batch-pipeline-from-job.md
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articles/machine-learning/how-to-use-batch-pipeline-from-job.md

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@@ -186,7 +186,7 @@ To deploy the pipeline component, we have to create a batch deployment from the
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```python
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deployment = BatchPipelineComponentDeployment(
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name="hello-batch-from-job,
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name="hello-batch-from-job",
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description="A hello world deployment with a single step. This deployment is created from a pipeline job.",
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endpoint_name=endpoint.name,
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job_definition=pipeline_job_run,
@@ -293,4 +293,4 @@ ml_client.batch_endpoints.begin_delete(endpoint.name).result()
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- [How to deploy a training pipeline with batch endpoints (preview)](how-to-use-batch-training-pipeline.md)
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- [How to deploy a pipeline to perform batch scoring with preprocessing (preview)](how-to-use-batch-scoring-pipeline.md)
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- [Access data from batch endpoints jobs](how-to-access-data-batch-endpoints-jobs.md)
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- [Troubleshooting batch endpoints](how-to-troubleshoot-batch-endpoints.md)
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- [Troubleshooting batch endpoints](how-to-troubleshoot-batch-endpoints.md)

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