diff --git a/doc/overview.rst b/doc/overview.rst
index 0e459b3275..48b96dee1f 100644
--- a/doc/overview.rst
+++ b/doc/overview.rst
@@ -374,7 +374,7 @@ Here are examples of how to use Amazon FSx for Lustre as input for training:
 
         file_system_input = FileSystemInput(file_system_id='fs-2',
                                             file_system_type='FSxLustre',
-                                            directory_path='/fsx/tensorflow',
+                                            directory_path='/<mount-id>/tensorflow',
                                             file_system_access_mode='ro')
 
         # Start an Amazon SageMaker training job with FSx using the FileSystemInput class
@@ -394,7 +394,7 @@ Here are examples of how to use Amazon FSx for Lustre as input for training:
 
         records = FileSystemRecordSet(file_system_id='fs-=2,
                                       file_system_type='FSxLustre',
-                                      directory_path='/fsx/kmeans',
+                                      directory_path='/<mount-id>/kmeans',
                                       num_records=784,
                                       feature_dim=784)