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Acrolinx fix
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articles/machine-learning/interactive-data-wrangling-with-apache-spark-azure-ml.md

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@@ -71,7 +71,7 @@ The Notebooks UI also provides options for Spark session configuration, for the
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11. Select **Apply**.
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12. Select **Stop session** in the **Configure new session?** pop-up.
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The session configuration changes persists and becomes available to another notebook session that is started using the serverless Spark compute.
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The session configuration changes persist and become available to another notebook session that is started using the serverless Spark compute.
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### Import and wrangle data from Azure Data Lake Storage (ADLS) Gen 2
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@@ -309,4 +309,4 @@ df.to_csv(output_path, index_col="PassengerId")
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- [Code samples for interactive data wrangling with Apache Spark in Azure Machine Learning](https://github.com/Azure/azureml-examples/tree/main/sdk/python/data-wrangling)
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- [Optimize Apache Spark jobs in Azure Synapse Analytics](../synapse-analytics/spark/apache-spark-performance.md)
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- [What are Azure Machine Learning pipelines?](./concept-ml-pipelines.md)
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- [Submit Spark jobs in Azure Machine Learning](./how-to-submit-spark-jobs.md)
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- [Submit Spark jobs in Azure Machine Learning](./how-to-submit-spark-jobs.md)

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