# Using an Amazon EMR on EKS virtual cluster in Amazon SageMaker Unified Studio
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 After creating your Amazon EMR on EKS virtual cluster, you can begin using your compute. 

**Note**  
 Amazon EMR on EKS in Amazon SageMaker Unified Studio is only available for SageMaker distributions >=2.10 and >=3.5. 

1.  In the left navigation pane, choose **Compute**. 

1.  In the Compute panel, select the **Data processing** tab. 

1.  In the data processing panel, select your target Amazon EMR on EKS virtual cluster. 

1.  In the compute details panel, select **Actions** and **Open JupyterLab IDE**. 

1.  In the JupyterLab IDE, select a compatible **Connection type** and select the name of the **Compute**. 

## Configuration for additional functionality in Amazon SageMaker Unified Studio
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 Some native Amazon EMR on EKS functionality requires additional configuration by your administrator for your Amazon SageMaker Unified Studio projects. Contact your administrator to review documentation for additional functionality. 
+  [ Configuring monitoring with Spark History Server for Amazon EMR on EKS ](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/configuring-monitoring-with-spark-history-server-for-emr-on-eks.html) 
+  [ Configuring fine-grained access controls for Amazon EMR on EKS ](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/configuring-fine-grained-access-controls-for-emr-on-eks.html) 
+  [ Configuring trusted identity propagation for Amazon EMR on EKS ](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/configuring-trusted-identity-propagation-for-emr-on-eks.html) 
+  [ Configuring user background sessions for Amazon EMR on EKS ](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/configuring-user-background-sessions-for-emr-on-eks.html)