Merge pull request #172383 from nibaccam/patch-21

Databricks runtime version guidance

Author: PRMerger5

articles/machine-learning/how-to-configure-databricks-automl-environment.md

@@ -8,7 +8,7 @@ ms.author: roastala
 ms.service: machine-learning
 ms.subservice: core
 ms.reviewer: larryfr
-ms.date: 10/21/2020
+ms.date: 09/14/2021
 ms.topic: how-to
 ms.custom: devx-track-python
 ---
@@ -48,7 +48,7 @@ Use these settings:
 | Setting |Applies to| Value |
 |----|---|---|
 | Cluster Name |always| yourclustername |
-| Databricks Runtime Version |always| Runtime 7.1 (scala 2.21, spark 3.0.0) - Not ML|
+| Databricks Runtime Version |always| Runtime 7.3 LTS or lower - Not ML|
 | Python version |always| 3 |
 | Worker Type <br>(determines max # of concurrent iterations) |Automated ML<br>only| Memory optimized VM preferred |
 | Workers |always| 2 or higher |
@@ -92,7 +92,7 @@ To use automated ML, skip to [Add the Azure ML SDK with AutoML](#add-the-azure-m
   ![Azure Machine Learning SDK for Databricks](./media/how-to-configure-environment/amlsdk-withoutautoml.jpg) 
 
 ## Add the Azure ML SDK with AutoML to Databricks
-If the cluster was created with Databricks Runtime 7.1 or above (*not* ML), run the following command in the first cell of your notebook to install the AML SDK.
+If the cluster was created with Databricks Runtime 7.1 - 7.3 LTS (*not* ML), run the following command in the first cell of your notebook to install the AML SDK.
 
 ```
 %pip install --upgrade --force-reinstall -r https://aka.ms/automl_linux_requirements.txt
@@ -168,4 +168,4 @@ Try it out:
 ## Next steps
 
 - [Train a model](tutorial-train-models-with-aml.md) on Azure Machine Learning with the MNIST dataset.
-- See the [Azure Machine Learning SDK for Python reference](/python/api/overview/azure/ml/intro).
+- See the [Azure Machine Learning SDK for Python reference](/python/api/overview/azure/ml/intro).