Update tutorial-use-pandas-spark-pool.md

Author: kevinjaku

articles/synapse-analytics/spark/tutorial-use-pandas-spark-pool.md

@@ -39,8 +39,8 @@ If you don't have an Azure subscription, [create a free account before you begin
 
 > [!IMPORTANT]
 >
-> - If the above created Linked Service to Azure Data Lake Storage Gen2 uses a [managed private endpoint](https://learn.microsoft.com/en-us/azure/synapse-analytics/security/synapse-workspace-managed-private-endpoints) (with a *dfs* URI) , then we need to create another secondary managed private endpoint using the Azure Blob Storage option (with a **blob** URI) to ensure that the internal [fsspec/adlfs](https://github.com/fsspec/adlfs/blob/main/adlfs/spec.py#L400) code can connect using the *BlobServiceClient* interface.
-> - In case the secondary managed private endpoint is not configured correctly, then we would see an error message like *ServiceRequestError: Cannot connect to host <storageaccountname>.blob.core.windows.net:443 ssl:True [Name or service not known]*
+> - If the above created Linked Service to Azure Data Lake Storage Gen2 uses a [managed private endpoint](../security/synapse-workspace-managed-private-endpoints) (with a *dfs* URI) , then we need to create another secondary managed private endpoint using the Azure Blob Storage option (with a **blob** URI) to ensure that the internal [fsspec/adlfs](https://github.com/fsspec/adlfs/blob/main/adlfs/spec.py#L400) code can connect using the *BlobServiceClient* interface.
+> - In case the secondary managed private endpoint is not configured correctly, then we would see an error message like *ServiceRequestError: Cannot connect to host [storageaccountname].blob.core.windows.net:443 ssl:True [Name or service not known]*
 >
 > :::image type="content" source="media/tutorial-use-pandas-spark-pool/create-mpe-blob-endpoint.png" alt-text="Screenshot of creating a managed private end-point to an ADLS Gen2 storage using blob endpoint.":::