Merge pull request #1253 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to main to sync with https://github.com/MicrosoftDocs/azure-ai-docs (branch main)

Author: PhilKang0704

articles/ai-studio/how-to/develop/evaluate-sdk.md

@@ -432,8 +432,8 @@ result = evaluate(
     },
     # column mapping
     evaluator_config={
-        "column_mapping": {
-            "relevance": {
+        "relevance": {
+            "column_mapping": {
                 "query": "${data.queries}"
                 "ground_truth": "${data.ground_truth}"
                 "response": "${outputs.response}"
@@ -560,8 +560,8 @@ result = evaluate(
         "relevance": relevance_eval
     },
     evaluator_config={
-        "column_mapping": {
-            "default": {
+        "default": {
+            "column_mapping": {
                 "query": "${data.queries}"
                 "context": "${outputs.context}"
                 "response": "${outputs.response}"

articles/ai-studio/includes/install-cli.md

@@ -38,4 +38,9 @@ You can follow instructions [How to install the Azure CLI](/cli/azure/install-az
 After you install the Azure CLI, sign in using the ``az login`` command and sign-in using the browser:
 ```
 az login
+
+```
+Alternatively, you can log in manually via the browser with a device code.
+```
+az login --use-device-code
 ```

articles/machine-learning/concept-compute-target.md

@@ -92,7 +92,7 @@ When created, these compute resources are automatically part of your workspace,
 > [!NOTE]
 > To avoid charges when the compute is idle:
 > * For a compute *cluster*, make sure the minimum number of nodes is set to 0, or use [serverless compute](./how-to-use-serverless-compute.md).
-> * For a compute *instance*, [enable idle shutdown](how-to-create-compute-instance.md#configure-idle-shutdown).
+> * For a compute *instance*, [enable idle shutdown](how-to-create-compute-instance.md#configure-idle-shutdown). While stopping the compute instance stops the billing for compute hours, you'll still be billed for disk, public IP, and standard load balancer.
 
 ### Supported VM series and sizes
 

articles/machine-learning/how-to-create-compute-instance.md

@@ -62,7 +62,7 @@ Choose the tab for the environment you're using for other prerequisites.
 
 Creating a compute instance is a one time process for your workspace. You can reuse the compute as a development workstation or as a compute target for training. You can have multiple compute instances attached to your workspace.
 
-The dedicated cores per region per VM family quota and total regional quota, which applies to compute instance creation, is unified and shared with Azure Machine Learning training compute cluster quota. Stopping the compute instance doesn't release quota to ensure you are able to restart the compute instance. It isn't possible to change the virtual machine size of compute instance once it's created.
+The dedicated cores per region per VM family quota and total regional quota, which applies to compute instance creation, is unified and shared with Azure Machine Learning training compute cluster quota. Stopping the compute instance doesn't release quota to ensure you are able to restart the compute instance. A quota is a credit limit on Azure resources, not a capacity guarantee, Restarting a compute instance is still dependent on the available capacity of the region. If there is a capacity crunch in the region for the SKU, you may not be able to restart the compute instance.  It isn't possible to change the virtual machine size of compute instance once it's created.
 
 The fastest way to create a compute instance is to follow the [Create resources you need to get started](quickstart-create-resources.md).
 

articles/machine-learning/how-to-manage-compute-instance.md

@@ -64,7 +64,7 @@ You can [enable automatic shutdown](how-to-create-compute-instance.md#configure-
 You can also [create a schedule](how-to-create-compute-instance.md#schedule-automatic-start-and-stop) for the compute instance to automatically start and stop based on a time and day of week.
 
 > [!TIP]
-> The compute instance has 120GB OS disk. If you run out of disk space, [use the terminal](how-to-access-terminal.md) to clear at least 1-2 GB before you stop or restart the compute instance. Please do not stop the compute instance by issuing sudo shutdown from the terminal. The temp disk size on compute instance depends on the VM size chosen and is mounted on /mnt.
+> The compute instance has 120GB OS disk. If you run out of disk space, [use the terminal](how-to-access-terminal.md) to clear at least 5 GB before you stop or restart the compute instance. Please do not stop the compute instance by issuing sudo shutdown from the terminal. The temp disk size on compute instance depends on the VM size chosen and is mounted on /mnt.
 
 # [Python SDK](#tab/python)
 

articles/search/search-region-support.md

@@ -94,7 +94,7 @@ You can create an Azure AI Search resource in any of the following Azure public
 | Australia Southeast​​​ |  | ✅ |  | |
 | East Asia​ | ✅ | ✅ | ✅ |  |
 | Southeast Asia​ ​ ​ | ✅ | ✅ | ✅ |  |
-| Central India | ✅ | ✅ | ✅ | S2, S3, S3HD, L1, L2 |
+| Central India | ✅ | ✅ | ✅ |  |
 | Jio India West​ ​ | ✅ | ✅ |  |
 | South India <sup>1</sup> |  | | ✅ |
 | Japan East  | ✅ | ✅ | ✅ |

articles/search/search-sku-tier.md

@@ -59,7 +59,6 @@ Currently, several regions are at capacity for specific tiers and can't be used
 
 | Region | Disabled tier (SKU) due to over-capacity | Suggested alternative |
 |--------|------------------------------------------|-----------------------|
-| Central India | S2, S3, S3HD, L1, L2| South India |
 | East US 2| Basic, S1| Central US |
 | South Central US | All tiers | Central US |
 | US Gov Virginia | All tiers | US Gov Arizona |