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Copy file name to clipboardExpand all lines: articles/api-management/export-api-power-platform.md
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@@ -50,6 +50,8 @@ You can manage your custom connector in your Power Apps or Power Platform enviro
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> [!NOTE]
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> To call the API from the Power Apps test console, you need to add the `https://make.powerautomate.com` URL as an origin to the [CORS policy](cors-policy.md) in your API Management instance.
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>
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> Depending on how the custom connector gets used when running Power Apps, you might need to configure additional origins in the CORS policy. You can use developer tools in your browser, tracing in API Management, or Application Insights to investigate CORS issues when running Power Apps.
Copy file name to clipboardExpand all lines: articles/devtest-labs/samples-cli.md
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---
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title: Azure CLI Samples
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description: Learn about Azure CLI scripts. With these samples, you can create a virtual machine and then start, stop, and delete it in Azure Lab Services.
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description: Learn about Azure CLI scripts. With these samples, you can create a virtual machine and then start, stop, and delete it in Azure DevTest Labs.
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ms.topic: sample
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ms.author: rosemalcolm
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author: RoseHJM
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ms.date: 02/02/2022
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---
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# Azure CLI Samples for Azure Lab Services
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# Azure CLI Samples for Azure DevTest Labs
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This article includes sample bash scripts built for Azure CLI for Azure Lab Services.
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This article includes sample bash scripts built for Azure CLI for Azure DevTest Labs.
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| Script | Description |
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|---|---|
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This Azure CLI script stops and deletes a virtual machine in a lab.
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> [!CAUTION]
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> Deleting VMs and labs is permanent, and cannot be undone.
Copy file name to clipboardExpand all lines: articles/virtual-machines/linux/attach-disk-portal.md
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@@ -135,7 +135,6 @@ Use `mount` to then mount the filesystem. The following example mounts the */dev
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```bash
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sudo mount /dev/sdc1 /datadrive
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```
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To ensure that the drive is remounted automatically after a reboot, it must be added to the */etc/fstab* file. It's also highly recommended that the UUID (Universally Unique Identifier) is used in */etc/fstab* to refer to the drive rather than just the device name (such as, */dev/sdc1*). If the OS detects a disk error during boot, using the UUID avoids the incorrect disk being mounted to a given location. Remaining data disks would then be assigned those same device IDs. To find the UUID of the new drive, use the `blkid` utility:
# sudo sed -i 's/http:\/\/archive\.ubuntu\.com\/ubuntu\//http:\/\/azure\.archive\.ubuntu\.com\/ubuntu\//g' /etc/apt/sources.list
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# sudo sed -i 's/http:\/\/[a-z][a-z]\.archive\.ubuntu\.com\/ubuntu\//http:\/\/azure\.archive\.ubuntu\.com\/ubuntu\//g' /etc/apt/sources.list
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# sudo apt-get update
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sudo sed -i 's/http:\/\/archive\.ubuntu\.com\/ubuntu\//http:\/\/azure\.archive\.ubuntu\.com\/ubuntu\//g' /etc/apt/sources.list
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sudo sed -i 's/http:\/\/[a-z][a-z]\.archive\.ubuntu\.com\/ubuntu\//http:\/\/azure\.archive\.ubuntu\.com\/ubuntu\//g' /etc/apt/sources.list
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sudo apt-get update
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```
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4. The Ubuntu Azure images are now using the [Azure-tailored kernel](https://ubuntu.com/blog/microsoft-and-canonical-increase-velocity-with-azure-tailored-kernel). Update the operating system to the latest Azure-tailored kernel and install Azure Linux tools (including Hyper-V dependencies) by running the following commands:
5. Modify the kernel boot line for Grub to include additional kernel parameters for Azure. To do this open `/etc/default/grub` in a text editor, find the variable called `GRUB_CMDLINE_LINUX_DEFAULT` (or add it if needed) and edit it to include the following parameters:
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7. Install cloud-init (the provisioning agent) and the Azure Linux Agent (the guest extensions handler). Cloud-init uses `netplan` to configure the system network configuration (during provisioning and each subsequent boot) and `gdisk` to partition resource disks.
Copy file name to clipboardExpand all lines: articles/virtual-network/network-security-groups-overview.md
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|Property |Explanation |
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|---------|---------|
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|Name|A unique name within the network security group.|
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|Name|A unique name within the network security group. The name can be up to 80 characters long. It must begin with a word character, and it must end with a word character or with '_'. The name may contain word characters or '.', '-', '\_'.|
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|Priority | A number between 100 and 4096. Rules are processed in priority order, with lower numbers processed before higher numbers, because lower numbers have higher priority. Once traffic matches a rule, processing stops. As a result, any rules that exist with lower priorities (higher numbers) that have the same attributes as rules with higher priorities aren't processed.|
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|Source or destination| Any, or an individual IP address, classless inter-domain routing (CIDR) block (10.0.0.0/24, for example), service tag, or application security group. If you specify an address for an Azure resource, specify the private IP address assigned to the resource. Network security groups are processed after Azure translates a public IP address to a private IP address for inbound traffic, and before Azure translates a private IP address to a public IP address for outbound traffic. Fewer security rules are needed when you specify a range, a service tag, or application security group. The ability to specify multiple individual IP addresses and ranges (you can't specify multiple service tags or application groups) in a rule is referred to as [augmented security rules](#augmented-security-rules). Augmented security rules can only be created in network security groups created through the Resource Manager deployment model. You can't specify multiple IP addresses and IP address ranges in network security groups created through the classic deployment model.|
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|Protocol | TCP, UDP, ICMP, ESP, AH, or Any. The ESP and AH protocols aren't currently available via the Azure portal but can be used via ARM templates. |
Copy file name to clipboardExpand all lines: includes/machine-learning-public-internet-access.md
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@@ -62,6 +62,9 @@ You may also need to allow __outbound__ traffic to Visual Studio Code and non-Mi
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|**marketplace.visualstudio.com**</br>**vscode.blob.core.windows.net**</br>**\*.gallerycdn.vsassets.io**| Required to download and install VS Code extensions. These enable the remote connection to Compute Instances provided by the Azure ML extension for VS Code, see [Connect to an Azure Machine Learning compute instance in Visual Studio Code](../articles/machine-learning/how-to-set-up-vs-code-remote.md) for more information. |
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|**raw.githubusercontent.com/microsoft/vscode-tools-for-ai/master/azureml_remote_websocket_server/\***| Used to retrieve websocket server bits, which are installed on the compute instance. The websocket server is used to transmit requests from Visual Studio Code client (desktop application) to Visual Studio Code server running on the compute instance.|
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> [!NOTE]
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> When using the [Azure Machine Learning VS Code extension](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.vscode-ai) the remote compute instance will require an access to public repositories to install the packages required by the extension. If the compute instance requires a proxy to access these public repositories or the Internet, you will need to set and export the `HTTP_PROXY` and `HTTPS_PROXY` environment variables in the `~/.bashrc` file of the compute instance. This process can be automated at provisioning time by using a [custom script](/machine-learning/how-to-customize-compute-instance).
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When using Azure Kubernetes Service (AKS) with Azure Machine Learning, allow the following traffic to the AKS VNet:
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* General inbound/outbound requirements for AKS as described in the [Restrict egress traffic in Azure Kubernetes Service](../articles/aks/limit-egress-traffic.md) article.
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