Merge pull request #232042 from ynpandey/patch-14

Updated how-to-submit-spark-jobs.md

Author: prmerger-automator[bot]

articles/machine-learning/how-to-submit-spark-jobs.md

@@ -174,6 +174,9 @@ To create a job, a standalone Spark job can be defined as a YAML specification f
   - `runtime_version` - defines the Spark runtime version. The following Spark runtime versions are currently supported:
     - `3.1`
     - `3.2`
+      > [!IMPORTANT]
+      >
+      > End of life announcement (EOLA) for Azure Synapse Runtime for Apache Spark 3.1 was made on January 26, 2023. In accordance, Apache Spark 3.1 will not be supported after July 31, 2023. We recommend that you use Apache Spark 3.2.
 
   An example is shown here:
   ```yaml
@@ -313,7 +316,10 @@ To create a standalone Spark job, use the `azure.ai.ml.spark` function, with the
     - `Standard_E64S_V3`
   - `runtime_version` - a key that defines the Spark runtime version. The following Spark runtime versions are currently supported:
     - `3.1.0`
-    - `3.2.0`
+    - `3.2.0`   
+      > [!IMPORTANT]
+      >
+      > End of life announcement (EOLA) for Azure Synapse Runtime for Apache Spark 3.1 was made on January 26, 2023. In accordance, Apache Spark 3.1 will not be supported after July 31, 2023. We recommend that you use Apache Spark 3.2.
 - `compute` - the name of an attached Synapse Spark pool.
 - `inputs` - the inputs for the Spark job. This parameter should pass a dictionary with mappings of the input data bindings used in the job. This dictionary has these values:
   - a dictionary key defines the input name
@@ -412,6 +418,9 @@ To submit a standalone Spark job using the Azure Machine Learning studio UI:
 1. If you selected **Spark automatic compute (Preview)**:
     1. Select **Virtual machine size**.
     1. Select **Spark runtime version**.
+       > [!IMPORTANT]
+       >
+       > End of life announcement (EOLA) for Azure Synapse Runtime for Apache Spark 3.1 was made on January 26, 2023. In accordance, Apache Spark 3.1 will not be supported after July 31, 2023. We recommend that you use Apache Spark 3.2.
 1. If you selected **Attached compute**:
     1. Select an attached Synapse Spark pool from the **Select Azure Machine Learning attached compute** menu.
 1. Select **Next**.
@@ -696,4 +705,4 @@ This functionality isn't available in the Studio UI. The Studio UI doesn't suppo
 ## Next steps
 
 - [Code samples for Spark jobs using Azure Machine Learning CLI](https://github.com/Azure/azureml-examples/tree/main/cli/jobs/spark)
-- [Code samples for Spark jobs using Azure Machine Learning Python SDK](https://github.com/Azure/azureml-examples/tree/main/sdk/python/jobs/spark)
+- [Code samples for Spark jobs using Azure Machine Learning Python SDK](https://github.com/Azure/azureml-examples/tree/main/sdk/python/jobs/spark)