edits

Author: lgayhardt

articles/machine-learning/how-to-use-parallel-job-in-pipeline.md

@@ -8,7 +8,7 @@ ms.subservice: mlops
 ms.topic: how-to
 author: alainli
 ms.author: alainli
-ms.date: 09/24/2022
+ms.date: 09/25/2022
 ms.custom: devx-track-python, sdkv2, cliv2, event-tier1-build-2022
 ---
 
@@ -72,6 +72,8 @@ For example, you could set numbers to `mini_batch_size` to partition your data *
 
 # [Python](#tab/python)
 
+[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
+
 Declare `job_data_path` as one of the inputs. Bind it to `input_data` attribute.
 
 [!notebook-python[] (~/azureml-examples-v2samplesreorg/sdk/python/jobs/pipelines/1g_pipeline_with_parallel_nodes/pipeline_with_parallel_nodes.ipynb?name=parallel-job-for-file-data)]

articles/machine-learning/reference-yaml-job-parallel.md

@@ -9,7 +9,7 @@ ms.topic: reference
 ms.custom: cliv2, event-tier1-build-2022
 author: alainli
 ms.author: alainli
-ms.date: 09/24/2022
+ms.date: 09/25/2022
 ---
 
 # CLI (v2) parallel job YAML schema