fixed sensitive information and change date

Author: helenz-msft

articles/machine-learning/create-datastore-with-UI.md

@@ -8,7 +8,7 @@ ms.reviewer:  franksolomon
 ms.service: azure-machine-learning
 ms.subservice: mldata
 ms.topic: how-to
-ms.date: 02/14/2025
+ms.date: 02/28/2025
 #Customer intent: Existing solutions help link lakehouse files to Azure Machine Learning resources, and create a datastore through the SDK. However, some customers have lakehouse tables, and they want to create a datastore in Azure Machine Learning through the UI.
 ---
 

articles/machine-learning/how-to-datastore.md

@@ -65,7 +65,7 @@ store = AzureBlobDatastore(
     container_name="data-container",
     protocol="https",
     credentials=AccountKeyConfiguration(
-        account_key="XXXxxxXXXxXXXXxxXXXXXxXXXXXxXxxXxXXXxXXXxXXxxxXXxxXXXxXxXXXxxXxxXXXXxxxxxXXxxxxxxXXXxXXX"
+        account_key="aaaaaaaa-0b0b-1c1c-2d2d-333333333333"
     ),
 )
 
@@ -87,7 +87,7 @@ store = AzureBlobDatastore(
     account_name="mytestblobstore",
     container_name="data-container",
     credentials=SasTokenConfiguration(
-        sas_token= "?xx=XXXX-XX-XX&xx=xxxx&xxx=xxx&xx=xxxxxxxxxxx&xx=XXXX-XX-XXXXX:XX:XXX&xx=XXXX-XX-XXXXX:XX:XXX&xxx=xxxxx&xxx=XXxXXXxxxxxXXXXXXXxXxxxXXXXXxxXXXXXxXXXXxXXXxXXxXX"
+        sas_token= "?xx=A1bC2dE3fH4iJ5kL6mN7oP8qR9sT0u&xx=C2dE3fH4iJ5kL6mN7oP8qR9sT0uV1wx&xx=Ff6Gg~7Hh8.-Ii9Jj0Kk1Ll2Mm3Nn4_Oo5Pp6Qq7&xx=N7oP8qR9sT0uV1wX2yZ3aB4cD5eF6g&xxx=Ee5Ff~6Gg7.-Hh8Ii9Jj0Kk1Ll2Mm3_Nn4Oo5Pp6&xxx=C2dE3fH4iJ5kL6mN7oP8qR9sT0uV1w"
     ),
 )
 
@@ -125,7 +125,7 @@ description: Datastore pointing to a blob container.
 account_name: mytestblobstore
 container_name: data-container
 credentials:
-  account_key: XXXxxxXXXxXXXXxxXXXXXxXXXXXxXxxXxXXXxXXXxXXxxxXXxxXXXxXxXXXxxXxxXXXXxxxxxXXxxxxxxXXXxXXX
+  account_key: aaaaaaaa-0b0b-1c1c-2d2d-333333333333
 ```
 
 Create the Machine Learning datastore in the CLI:
@@ -146,7 +146,7 @@ description: Datastore pointing to a blob container using SAS token.
 account_name: mytestblobstore
 container_name: data-container
 credentials:
-  sas_token: ?xx=XXXX-XX-XX&xx=xxxx&xxx=xxx&xx=xxxxxxxxxxx&xx=XXXX-XX-XXXXX:XX:XXX&xx=XXXX-XX-XXXXX:XX:XXX&xxx=xxxxx&xxx=XXxXXXxxxxxXXXXXXXxXxxxXXXXXxxXXXXXxXXXXxXXXxXXxXX
+  sas_token: "?xx=A1bC2dE3fH4iJ5kL6mN7oP8qR9sT0u&xx=C2dE3fH4iJ5kL6mN7oP8qR9sT0uV1wx&xx=Ff6Gg~7Hh8.-Ii9Jj0Kk1Ll2Mm3Nn4_Oo5Pp6Qq7&xx=N7oP8qR9sT0uV1wX2yZ3aB4cD5eF6g&xxx=Ee5Ff~6Gg7.-Hh8Ii9Jj0Kk1Ll2Mm3_Nn4Oo5Pp6&xxx=C2dE3fH4iJ5kL6mN7oP8qR9sT0uV1w"
 ```
 
 Create the Machine Learning datastore in the CLI:
@@ -192,9 +192,9 @@ store = AzureDataLakeGen2Datastore(
     account_name="mytestdatalakegen2",
     filesystem="my-gen2-container",
      credentials=ServicePrincipalCredentials(
-        tenant_id= "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX",
-        client_id= "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX",
-        client_secret= "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
+        tenant_id= "bbbbcccc-1111-dddd-2222-eeee3333ffff",
+        client_id= "44445555-eeee-6666-ffff-7777aaaa8888",
+        client_secret= "Cc3Dd~4Ee5.-Ff6Gg7Hh8Ii9Jj0Kk1_Ll2Mm3Nn4",
     ),
 )
 
@@ -232,9 +232,9 @@ description: Datastore pointing to an Azure Data Lake Storage Gen2 instance.
 account_name: mytestdatalakegen2
 filesystem: my-gen2-container
 credentials:
-  tenant_id: XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
-  client_id: XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
-  client_secret: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+  tenant_id: bbbbcccc-1111-dddd-2222-eeee3333ffff
+  client_id: 44445555-eeee-6666-ffff-7777aaaa8888
+  client_secret: Cc3Dd~4Ee5.-Ff6Gg7Hh8Ii9Jj0Kk1_Ll2Mm3Nn4
 ```
 
 Create the Machine Learning datastore in the CLI:
@@ -261,7 +261,7 @@ store = AzureFileDatastore(
     account_name="mytestfilestore",
     file_share_name="my-share",
     credentials=AccountKeyConfiguration(
-        account_key= "XXXxxxXXXxXXXXxxXXXXXxXXXXXxXxxXxXXXxXXXxXXxxxXXxxXXXxXxXXXxxXxxXXXXxxxxxXXxxxxxxXXXxXXX"
+        account_key= "aaaaaaaa-0b0b-1c1c-2d2d-333333333333"
     ),
 )
 
@@ -283,7 +283,7 @@ store = AzureFileDatastore(
     account_name="mytestfilestore",
     file_share_name="my-share",
     credentials=SasTokenConfiguration(
-        sas_token="?xx=XXXX-XX-XX&xx=xxxx&xxx=xxx&xx=xxxxxxxxxxx&xx=XXXX-XX-XXXXX:XX:XXX&xx=XXXX-XX-XXXXX:XX:XXX&xxx=xxxxx&xxx=XXxXXXxxxxxXXXXXXXxXxxxXXXXXxxXXXXXxXXXXxXXXxXXxXX"
+        sas_token="?xx=A1bC2dE3fH4iJ5kL6mN7oP8qR9sT0u&xx=C2dE3fH4iJ5kL6mN7oP8qR9sT0uV1wx&xx=Ff6Gg~7Hh8.-Ii9Jj0Kk1Ll2Mm3Nn4_Oo5Pp6Qq7&xx=N7oP8qR9sT0uV1wX2yZ3aB4cD5eF6g&xxx=Ee5Ff~6Gg7.-Hh8Ii9Jj0Kk1Ll2Mm3_Nn4Oo5Pp6&xxx=C2dE3fH4iJ5kL6mN7oP8qR9sT0uV1w"
     ),
 )
 
@@ -302,7 +302,7 @@ description: Datastore pointing to an Azure File Share.
 account_name: mytestfilestore
 file_share_name: my-share
 credentials:
-  account_key: XxXxXxXXXXXXXxXxXxxXxxXXXXXXXXxXxxXXxXXXXXXXxxxXxXXxXXXXXxXXxXXXxXxXxxxXXxXXxXXXXXxXxxXX
+  account_key: aaaaaaaa-0b0b-1c1c-2d2d-333333333333
 ```
 
 Create the Machine Learning datastore in the CLI:
@@ -323,7 +323,7 @@ description: Datastore pointing to an Azure File Share using an SAS token.
 account_name: mytestfilestore
 file_share_name: my-share
 credentials:
-  sas_token: ?xx=XXXX-XX-XX&xx=xxxx&xxx=xxx&xx=xxxxxxxxxxx&xx=XXXX-XX-XXXXX:XX:XXX&xx=XXXX-XX-XXXXX:XX:XXX&xxx=xxxxx&xxx=XXxXXXxxxxxXXXXXXXxXxxxXXXXXxxXXXXXxXXXXxXXXxXXxXX
+  sas_token: "?xx=A1bC2dE3fH4iJ5kL6mN7oP8qR9sT0u&xx=C2dE3fH4iJ5kL6mN7oP8qR9sT0uV1wx&xx=Ff6Gg~7Hh8.-Ii9Jj0Kk1Ll2Mm3Nn4_Oo5Pp6Qq7&xx=N7oP8qR9sT0uV1wX2yZ3aB4cD5eF6g&xxx=Ee5Ff~6Gg7.-Hh8Ii9Jj0Kk1Ll2Mm3_Nn4Oo5Pp6&xxx=C2dE3fH4iJ5kL6mN7oP8qR9sT0uV1w"
 ```
 
 Create the Machine Learning datastore in the CLI:
@@ -366,9 +366,9 @@ store = AzureDataLakeGen1Datastore(
     description="Datastore pointing to an Azure Data Lake Storage Gen1.",
     store_name="mytestdatalakegen1",
     credentials=ServicePrincipalCredentials(
-        tenant_id= "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX",
-        client_id= "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX",
-        client_secret= "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
+        tenant_id= "bbbbcccc-1111-dddd-2222-eeee3333ffff",
+        client_id= "44445555-eeee-6666-ffff-7777aaaa8888",
+        client_secret= "Cc3Dd~4Ee5.-Ff6Gg7Hh8Ii9Jj0Kk1_Ll2Mm3Nn4",
     ),
 )
 
@@ -404,9 +404,9 @@ type: azure_data_lake_gen1
 description: Datastore pointing to an Azure Data Lake Storage Gen1 instance.
 store_name: mytestdatalakegen1
 credentials:
-  tenant_id: XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
-  client_id: XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
-  client_secret: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+  tenant_id: bbbbcccc-1111-dddd-2222-eeee3333ffff
+  client_id: 44445555-eeee-6666-ffff-7777aaaa8888
+  client_secret: Cc3Dd~4Ee5.-Ff6Gg7Hh8Ii9Jj0Kk1_Ll2Mm3Nn4
 ```
 
 Create the Machine Learning datastore in the CLI:
@@ -451,10 +451,10 @@ ml_client = MLClient.from_config()
 store = OneLakeDatastore(
     name="onelake_example_id",
     description="Datastore pointing to an Microsoft fabric artifact.",
-    one_lake_workspace_name="XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX", #{your_one_lake_workspace_guid}
+    one_lake_workspace_name="bbbbbbbb-7777-8888-9999-cccccccccccc", #{your_one_lake_workspace_guid}
     endpoint="msit-onelake.dfs.fabric.microsoft.com" #{your_one_lake_endpoint}
     artifact = OneLakeArtifact(
-        name="XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/Files", #{your_one_lake_artifact_guid}/Files
+        name="cccccccc-8888-9999-0000-dddddddddddd/Files", #{your_one_lake_artifact_guid}/Files
         type="lake_house"
     )
 )
@@ -479,16 +479,16 @@ ml_client = MLClient.from_config()
 store = OneLakeDatastore(
     name="onelake_example_sp",
     description="Datastore pointing to an Microsoft fabric artifact.",
-    one_lake_workspace_name="XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX", #{your_one_lake_workspace_guid}
+    one_lake_workspace_name="bbbbbbbb-7777-8888-9999-cccccccccccc", #{your_one_lake_workspace_guid}
     endpoint="msit-onelake.dfs.fabric.microsoft.com" #{your_one_lake_endpoint}
     artifact = OneLakeArtifact(
-    name="XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/Files", #{your_one_lake_artifact_guid}/Files
+    name="cccccccc-8888-9999-0000-dddddddddddd/Files", #{your_one_lake_artifact_guid}/Files
     type="lake_house"
     )
     credentials=ServicePrincipalCredentials(
-        tenant_id= "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX",
-        client_id= "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX",
-        client_secret= "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
+        tenant_id= "bbbbcccc-1111-dddd-2222-eeee3333ffff",
+        client_id= "44445555-eeee-6666-ffff-7777aaaa8888",
+        client_secret= "Cc3Dd~4Ee5.-Ff6Gg7Hh8Ii9Jj0Kk1_Ll2Mm3Nn4",
     ),
 )
 
@@ -504,11 +504,11 @@ $schema: http://azureml/sdk-2-0/OneLakeDatastore.json
 name: onelake_example_id
 type: one_lake
 description: Credential-less datastore pointing to a OneLake lakehouse.
-one_lake_workspace_name: "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX"
+one_lake_workspace_name: "eeeeffff-4444-aaaa-5555-bbbb6666cccc"
 endpoint: "msit-onelake.dfs.fabric.microsoft.com"
 artifact:
   type: lake_house
-  name: "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/Files"
+  name: "1111bbbb-22cc-dddd-ee33-ffffff444444/Files"
 ```
 
 Create the Machine Learning datastore in the CLI:
@@ -526,15 +526,15 @@ $schema: http://azureml/sdk-2-0/OneLakeDatastore.json
 name: onelake_example_id
 type: one_lake
 description: Credential-less datastore pointing to a OneLake lakehouse.
-one_lake_workspace_name: "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX"
+one_lake_workspace_name: "eeeeffff-4444-aaaa-5555-bbbb6666cccc"
 endpoint: "msit-onelake.dfs.fabric.microsoft.com"
 artifact:
   type: lake_house
-  name: "XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/Files"
+  name: "1111bbbb-22cc-dddd-ee33-ffffff444444/Files"
 credentials:
-  tenant_id: XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
-  client_id: XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
-  client_secret: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+  tenant_id: bbbbcccc-1111-dddd-2222-eeee3333ffff
+  client_id: 44445555-eeee-6666-ffff-7777aaaa8888
+  client_secret: Cc3Dd~4Ee5.-Ff6Gg7Hh8Ii9Jj0Kk1_Ll2Mm3Nn4
 ```
 
 Create the Machine Learning datastore in the CLI: