Merge pull request #280540 from MicrosoftDocs/repo_sync_working_branch

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

Author: Taojunshen

articles/ai-services/speech-service/how-to-configure-azure-ad-auth.md

@@ -103,7 +103,7 @@ The token context must be set to "https://cognitiveservices.azure.com/.default".
 ::: zone-end
 
 ::: zone pivot="programming-language-python"
-To get a Microsoft Entra access token in Java, use the [Azure Identity Client Library](/python/api/overview/azure/identity-readme).
+To get a Microsoft Entra access token in Python, use the [Azure Identity Client Library](/python/api/overview/azure/identity-readme).
 
 Here's an example of using Azure Identity to get a Microsoft Entra access token from an interactive browser:
 ```Python

articles/analysis-services/analysis-services-network-faq.yml

@@ -42,6 +42,13 @@ sections:
           I have a source database behind a firewall. How can I configure the firewall to allow my Analysis Services server to access it?   
         answer: |
           Azure Analysis Services does not use fixed IP addresses or Service Tags. The range of IP addresses your Analysis Services servers use can be anything in the range of IP addresses for the *Azure region*. You  have to provide the *full range* of IP addresses for the Azure region of your server in the source database firewall rules. Another, and possibly more secure, alternative is to configure an On-premises Data Gateway. You can then configure your Analysis Services servers with the [AlwaysUseGateway server property](analysis-services-vnet-gateway.md#configure-alwaysusegateway-property), and then ensure the On-premises Data Gateway has an IP address allowed by the firewall rules of the data source.
+
+  - name: Consumer email accounts
+    questions:
+      - question: |
+          Can I invite consumer email accounts (outlook.com and gmail.com) to the tenant and give permissions to access Azure Analysis Services?
+        answer: |
+          Yes, Azure Analysis Services supports B2C accounts (consumer email accounts who are invited into the Server tenant). However there are limitations with such accounts, for example Single Sign-On from Power BI service Live Connect reports may not be supported for some providers of consumer email accounts.
           
   - name: Azure apps with IP address
     questions:

articles/container-apps/azure-arc-create-container-app.md

@@ -35,8 +35,7 @@ Next, add the required Azure CLI extensions.
 
 ```azurecli-interactive
 az extension add --upgrade --yes --name customlocation
-az extension remove --name containerapp
-az extension add -s https://aka.ms/acaarccli/containerapp-latest-py2.py3-none-any.whl --yes
+az extension add --name containerapp  --upgrade --yes
 ```
 
 ## Create a resource group

articles/container-apps/azure-arc-enable-cluster.md

@@ -44,11 +44,10 @@ Install the following Azure CLI extensions.
 # [Azure CLI](#tab/azure-cli)
 
 ```azurecli-interactive
-az extension add --name connectedk8s  --upgrade --yes
+az extension add --name connectedk8s --upgrade --yes
 az extension add --name k8s-extension --upgrade --yes
 az extension add --name customlocation --upgrade --yes
-az extension remove --name containerapp
-az extension add --source https://aka.ms/acaarccli/containerapp-latest-py2.py3-none-any.whl --yes
+az extension add --name containerapp  --upgrade --yes
 ```
 
 # [PowerShell](#tab/azure-powershell)
@@ -57,8 +56,7 @@ az extension add --source https://aka.ms/acaarccli/containerapp-latest-py2.py3-n
 az extension add --name connectedk8s  --upgrade --yes
 az extension add --name k8s-extension --upgrade --yes
 az extension add --name customlocation --upgrade --yes
-az extension remove --name containerapp
-az extension add --source https://aka.ms/acaarccli/containerapp-latest-py2.py3-none-any.whl --yes
+az extension add --name containerapp  --upgrade --yes
 ```
 
 ---

articles/cosmos-db/mongodb/vcore/vector-search.md

@@ -125,7 +125,7 @@ To create a vector index using the IVF (Inverted File) algorithm, use the follow
 | `dimensions` | integer | Number of dimensions for vector similarity. The maximum number of supported dimensions is `2000`. |
 
 > [!IMPORTANT]
-> Setting the _numLists_ parameter correctly is important for acheiving good accuracy and performance. We recommend that `numLists` is set to `documentCount/1000` for up to 1 million documents and to `sqrt(documentCount)` for more than 1 million documents.
+> Setting the _numLists_ parameter correctly is important for achieving good accuracy and performance. We recommend that `numLists` is set to `documentCount/1000` for up to 1 million documents and to `sqrt(documentCount)` for more than 1 million documents.
 >
 > As the number of items in your database grows, you should tune _numLists_ to be larger in order to achieve good latency performance for vector search.
 >

articles/machine-learning/how-to-access-azureml-behind-firewall.md

@@ -453,8 +453,7 @@ __Docker images maintained by Azure Machine Learning__
 | Microsoft Container Registry | mcr.microsoft.com</br>\*.data.mcr.microsoft.com | TCP | 443 |
 
 > [!TIP]
-> * __Azure Container Registry__ is required for any custom Docker image. This includes small modifications (such as additional packages) to base images provided by Microsoft. It is also required by the internal training job submission process of Azure Machine Learning.
-> * __Microsoft Container Registry__ is only needed if you plan on using the _default Docker images provided by Microsoft_, and _enabling user-managed dependencies_.
+> * __Azure Container Registry__ is required for any custom Docker image. This includes small modifications (such as additional packages) to base images provided by Microsoft. It is also required by the internal training job submission process of Azure Machine Learning. Furthermore, __Microsoft Container Registry__ is always needed regardless of the scenario.
 > * If you plan on using federated identity, follow the [Best practices for securing Active Directory Federation Services](/windows-server/identity/ad-fs/deployment/best-practices-securing-ad-fs) article.
 
 Also, use the information in the [compute with public IP](#scenario-using-compute-cluster-or-compute-instance-with-a-public-ip) section to add IP addresses for `BatchNodeManagement` and `AzureMachineLearning`.

articles/machine-learning/how-to-interactive-jobs.md

@@ -238,6 +238,9 @@ When you select on the endpoints to interact when your job, you're taken to the
 
 - You can also interact with the job container within VS Code. To attach a debugger to a job during job submission and pause execution, [navigate here](./how-to-interactive-jobs.md#attach-a-debugger-to-a-job).
 
+  > [!NOTE]
+  > Private link-enabled workspaces are not currently supported when interacting with the job container with VS Code.
+
   :::image type="content" source="./media/interactive-jobs/vs-code-open.png" alt-text="Screenshot of interactive jobs VS Code panel when first opened. This shows the sample python file that was created to print two lines.":::
 
 - If you have logged tensorflow events for your job, you can use TensorBoard to monitor the metrics when your job is running.
@@ -252,6 +255,9 @@ Once you're done with the interactive training, you can also go to the job detai
 ## Attach a debugger to a job
 To submit a job with a debugger attached and the execution paused, you can use debugpy, and VS Code (`debugpy` must be installed in your job environment). 
 
+> [!NOTE]
+> Private link-enabled workspaces are not currently supported when attaching a debugger to a job in VS Code.
+
 1. During job submission (either through the UI, the CLI or the SDK) use the debugpy command to run your python script. For example, the below screenshot shows a sample command that uses debugpy to attach the debugger for a tensorflow script (`tfevents.py` can be replaced with the name of your training script).
 
 :::image type="content" source="./media/interactive-jobs/use-debugpy.png" alt-text="Screenshot of interactive jobs configuration of debugpy":::