Fix a bookmark URL . . .

Author: fbsolo-ms1

articles/machine-learning/apache-spark-azure-ml-concepts.md

@@ -107,7 +107,7 @@ To access data and other resources, a Spark job can use either a user identity p
 |Managed (Automatic) Spark compute|User identity and managed identity|User identity|
 |Attached Synapse Spark pool|User identity and managed identity|Managed identity - compute identity of the attached Synapse Spark pool|
 
-[This article](./how-to-submit-spark-jobs.md#ensuring-resource-access-for-spark-jobs) describes resource access for Spark jobs. In a notebook session, both the Managed (Automatic) Spark compute and the attached Synapse Spark pool use user identity passthrough for data access during [interactive data wrangling](./interactive-data-wrangling-with-apache-spark-azure-ml.md).
+[This article](./apache-spark-environment-configuration.md#ensuring-resource-access-for-spark-jobs) describes resource access for Spark jobs. In a notebook session, both the Managed (Automatic) Spark compute and the attached Synapse Spark pool use user identity passthrough for data access during [interactive data wrangling](./interactive-data-wrangling-with-apache-spark-azure-ml.md).
 
 > [!NOTE]
 > - To ensure successful Spark job execution, assign **Contributor** and **Storage Blob Data Contributor** roles (on the Azure storage account used for data input and output) to the identity that will be used for the Spark job submission.