Merge pull request #217947 from shouryaj/patch-8

Add preview tag

Author: prmerger-automator[bot]

articles/machine-learning/how-to-interactive-jobs.md

@@ -14,8 +14,7 @@ ms.date: 03/15/2022
 #Customer intent: I'm a data scientist with ML knowledge in the machine learning space, looking to build ML models using data in Azure Machine Learning with full control of the model training including debugging and monitoring of live jobs.
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-# Debug jobs and monitor training progress
-
+# Debug jobs and monitor training progress (preview)
 Machine learning model training is usually an iterative process and requires significant experimentation. With the Azure Machine Learning interactive job experience, data scientists can use the Azure Machine Learning Python SDKv2, Azure Machine Learning CLIv2 or the Azure Studio to access the container where their job is running.  Once the job container is accessed, users can iterate on training scripts, monitor training progress or debug the job remotely like they typically do on their local machines. Jobs can be interacted with via different training applications including **JupyterLab, TensorBoard, VS Code** or by connecting to the job container directly via **SSH**.  
 
 Interactive training is supported on **Azure Machine Learning Compute Clusters** and **Azure Arc-enabled Kubernetes Cluster**.