Fix an .MD URL bug.

Author: fbsolo-ms1

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

@@ -91,7 +91,7 @@ These prerequisites cover the submission of a Spark job from Azure Machine Learn
 > [!NOTE]
 > - To ensure successful execution of the Spark job, assign the **Contributor** and **Storage Blob Data Contributor** roles, on the Azure storage account used for data input and output, to the identity that the Spark job uses
 > - If an [attached Synapse Spark pool](./how-to-manage-synapse-spark-pool.md) points to a Synapse Spark pool, in an Azure Synapse workspace that has a managed virtual network associated with it, [a managed private endpoint to storage account should be configured](../synapse-analytics/security/connect-to-a-secure-storage-account.md) to ensure data access.
-> - Serverless Spark compute supports a managed virtual network (preview). If a [managed network is provisioned for the serverless Spark compute, the corresponding private endpoints for the storage account should also be provisioned](./how-to-managed-network#configure-for-serverless-spark-jobs) to ensure data access. 
+> - Serverless Spark compute supports a managed virtual network (preview). If a [managed network is provisioned for the serverless Spark compute, the corresponding private endpoints for the storage account should also be provisioned](./how-to-managed-network.md#configure-for-serverless-spark-jobs) to ensure data access.
 
 ## Submit a standalone Spark job
 A Python script developed by [interactive data wrangling](./interactive-data-wrangling-with-apache-spark-azure-ml.md) can be used to submit a batch job to process a larger volume of data, after making necessary changes for Python script parameterization. A simple data wrangling batch job can be submitted as a standalone Spark job.