Merge pull request #215957 from ntrogh/als-broken-links

PMEds28 · web-flow · commit 181651b35784 · 2022-10-26T10:22:51.000+01:00
[Azure Lab Services] Update broken links
diff --git a/articles/lab-services/administrator-guide-1.md b/articles/lab-services/administrator-guide-1.md
@@ -52,7 +52,7 @@ The following list highlights scenarios where more than one lab account might be
 
   When you set up a lab account, you set policies that apply to *all* labs under the lab account, such as:
   - The Azure virtual network with shared resources that the lab can access. For example, you might have a set of labs that need access to a shared data set within a virtual network.
-  - The virtual machine images that the labs can use to create VMs. For example, you might have a set of labs that need access to the [Data Science VM for Linux](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804) Azure Marketplace image.
+  - The virtual machine images that the labs can use to create VMs. For example, you might have a set of labs that need access to the [Data Science VM for Linux](https://azuremarketplace.microsoft.com/marketplace/apps?search=Data%20science%20Virtual%20machine&page=1&filters=microsoft%3Blinux) Azure Marketplace image.
 
     If each of your labs has unique policy requirements, it might be beneficial to create separate lab accounts for managing each lab separately.
 
diff --git a/articles/lab-services/administrator-guide.md b/articles/lab-services/administrator-guide.md
@@ -56,7 +56,7 @@ The following list highlights scenarios where more than one lab plan might be be
   When you create a lab plan, you set policies that apply to all newly created labs, such as:
 
   - The Azure virtual network with shared resources that the lab can access. For example, you might have a set of labs that need access to a license server within a virtual network.
-  - The virtual machine images that the labs can use to create VMs. For example, you might have a set of labs that need access to the [Data Science VM for Linux](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804) Azure Marketplace image.
+  - The virtual machine images that the labs can use to create VMs. For example, you might have a set of labs that need access to the [Data Science VM for Linux](https://azuremarketplace.microsoft.com/marketplace/apps?search=Data%20science%20Virtual%20machine&page=1&filters=microsoft%3Blinux) Azure Marketplace image.
 
   If each of your labs has unique policy requirements, it might be beneficial to create separate lab plans for managing each lab separately.
 
diff --git a/articles/lab-services/class-type-deep-learning-natural-language-processing.md b/articles/lab-services/class-type-deep-learning-natural-language-processing.md
@@ -35,7 +35,7 @@ For instructions on how to create a lab, see [Tutorial: Set up a lab](tutorial-s
 | Lab settings | Value |
 | ------------ | ------------------ |
 | Virtual machine (VM) size | **Small GPU (Compute)**. This size is best suited for compute-intensive and network-intensive applications like Artificial Intelligence and Deep Learning. |
-| VM image | [Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804). This image provides deep learning frameworks and tools for machine learning and data science. To view the full list of installed tools on this image, see [What's included on the DSVM?](../machine-learning/data-science-virtual-machine/overview.md#whats-included-on-the-dsvm). |
+| VM image | [Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/marketplace/apps?search=Data%20science%20Virtual%20machine&page=1&filters=microsoft%3Blinux). This image provides deep learning frameworks and tools for machine learning and data science. To view the full list of installed tools on this image, see [What's included on the DSVM?](../machine-learning/data-science-virtual-machine/overview.md#whats-included-on-the-dsvm). |
 | Enable remote desktop connection | Optionally, check **Enable remote desktop connection**. The Data Science image is already configured to use X2Go so that teachers and students can connect using a GUI remote desktop. X2Go *doesn't* require the **Enable remote desktop connection** setting to be enabled. |
 | Template Virtual Machine Settings | Optionally, choose **Use a virtual machine image without customization**. If you're using the [August 2022 Update](lab-services-whats-new.md) and the DSVM has all the tools that your class requires, you can skip the template customization step. |
 
diff --git a/articles/lab-services/class-type-jupyter-notebook.md b/articles/lab-services/class-type-jupyter-notebook.md
@@ -38,7 +38,7 @@ This article uses the Data Science virtual machine images available on the Azure
 | Lab settings | Value |
 | ------------ | ------------------ |
 | Virtual machine size | Select **Small** or **Medium** for a basic setup accessing Jupyter Notebooks. Select **Small GPU (Compute)** for compute-intensive and network-intensive applications used in Artificial Intelligence and Deep Learning classes. |
-| Virtual machine image | Choose **[Data Science Virtual Machine – Windows Server 2019](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2019)** or **[Data Science Virtual Machine – Ubuntu 18.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804?tab=Overview)** depending on your OS needs. |
+| Virtual machine image | Choose **[Data Science Virtual Machine – Windows Server 2019](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2019)** or **[Data Science Virtual Machine – Ubuntu](https://azuremarketplace.microsoft.com/en-us/marketplace/apps?search=Data%20science%20Virtual%20machine&page=1&filters=microsoft%3Blinux)** depending on your OS needs. |
 | Template virtual machine settings | Select **Use virtual machine without customization.**.
 
 When you create a lab with the **Small GPU (Compute)** size, you can [install GPU drivers](./how-to-setup-lab-gpu.md#ensure-that-the-appropriate-gpu-drivers-are-installed).  This option installs recent NVIDIA drivers and Compute Unified Device Architecture (CUDA) toolkit, which is required to enable high-performance computing with the GPU.  For more information, see the article [Set up a lab with GPU virtual machines](./how-to-setup-lab-gpu.md).
diff --git a/articles/lab-services/class-type-matlab.md b/articles/lab-services/class-type-matlab.md
@@ -22,9 +22,9 @@ To set up this lab, you need an Azure subscription and lab account to get starte
 
 ## License server
 
-Before creating the lab plan, you'll need to set up the server to run the [Network License Manager](https://www.mathworks.com/help/install/administer-network-licenses.html) software. These instructions are only applicable for institutions that choose the networking licensing option for MATLAB, which allows users to share a pool of license keys. You'll also need to save the license file and file installation key for later. For detailed instructions on how to download a license file, see the first step in [Install Network License Manager with Internet Connection](https://www.mathworks.com/help/install/ug/install-network-license-manager-with-internet-connection.html).
+Before creating the lab plan, you'll need to set up the server to run the [Network License Manager](https://www.mathworks.com/help/install/administer-network-licenses.html) software. These instructions are only applicable for institutions that choose the networking licensing option for MATLAB, which allows users to share a pool of license keys. You'll also need to save the license file and file installation key for later. For detailed instructions on how to download a license file, see the first step in [Install License Manager on License Server](https://www.mathworks.com/help/install/ug/install-license-manager-on-license-server.html).
 
-For detailed instructions on how to install a licensing server, see [Install Network License Manager with Internet Connection](https://www.mathworks.com/help/install/ug/install-network-license-manager-with-internet-connection.html). To enable borrowing, see [Borrow License](https://www.mathworks.com/help/install/license/borrow-licenses.html).
+For detailed instructions on how to install a licensing server, see [Install License Manager on License Server](https://www.mathworks.com/help/install/ug/install-license-manager-on-license-server.html). To enable borrowing, see [Borrow License](https://www.mathworks.com/help/install/license/borrow-licenses.html).
 
 Assuming the license server is located in an on-premises network or a private network within Azure, you’ll need to [Connect to your virtual network in Azure Lab Services](how-to-connect-vnet-injection.md) when creating your [lab plan](./tutorial-setup-lab-plan.md).
 
diff --git a/articles/lab-services/class-type-rstudio-linux.md b/articles/lab-services/class-type-rstudio-linux.md
@@ -14,7 +14,7 @@ ms.author: enewman
 [R](https://www.r-project.org/about.html) is an open-source language used for statistical computing and graphics.  It's used in the statistical analysis of genetics to natural language processing to analyzing financial data.  R provides an [interactive command line](https://cran.r-project.org/doc/manuals/r-release/R-intro.html#Invoking-R-from-the-command-line) experience.  [RStudio](https://www.rstudio.com/products/rstudio/) is an interactive development environment (IDE) available for the R language.  The free version provides code editing tools, an integrated debugging experience, and package development tools.
 
 This article will focus on solely RStudio and R as a building block for a class that requires the use of statistical computing.  The [deep learning](class-type-deep-learning-natural-language-processing.md) and [Python and Jupyter Notebooks](class-type-jupyter-notebook.md)
-class types setup RStudio differently.  Each article describes how to use the [Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/en-US/marketplace/apps/microsoft-dsvm.ubuntu-1804) marketplace image, which has many [data science related tools](../machine-learning/data-science-virtual-machine/tools-included.md), including RStudio, pre-installed.  
+class types setup RStudio differently.  Each article describes how to use the [Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/en-us/marketplace/apps?search=Data%20science%20Virtual%20machine&page=1&filters=microsoft%3Blinux) marketplace image, which has many [data science related tools](../machine-learning/data-science-virtual-machine/tools-included.md), including RStudio, pre-installed.  
 
 ## Lab configuration
 
diff --git a/articles/lab-services/class-type-rstudio-windows.md b/articles/lab-services/class-type-rstudio-windows.md
@@ -14,7 +14,7 @@ ms.author: enewman
 [R](https://www.r-project.org/about.html) is an open-source language used for statistical computing and graphics.  It's used in the statistical analysis of genetics to natural language processing to analyzing financial data.  R provides an [interactive command line](https://cran.r-project.org/doc/manuals/r-release/R-intro.html#Invoking-R-from-the-command-line) experience.  [RStudio](https://www.rstudio.com/products/rstudio/) is an interactive development environment (IDE) available for the R language.  The free version provides code-editing tools, an integrated debugging experience, and package development tools.
 
 This article will focus on solely RStudio and R as a building block for a class that requires the use of statistical computing.  The [deep learning](class-type-deep-learning-natural-language-processing.md) and [Python and Jupyter Notebooks](class-type-jupyter-notebook.md)
-class types set up RStudio differently.  Each article describes how to use the [Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/en-US/marketplace/apps/microsoft-dsvm.ubuntu-1804) marketplace image, which has many [data science related tools](../machine-learning/data-science-virtual-machine/tools-included.md), including RStudio, pre-installed.  
+class types set up RStudio differently.  Each article describes how to use the [Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/en-us/marketplace/apps?search=Data%20science%20Virtual%20machine&page=1&filters=microsoft%3Blinux) marketplace image, which has many [data science related tools](../machine-learning/data-science-virtual-machine/tools-included.md), including RStudio, pre-installed.  
 
 ## Lab configuration
 
diff --git a/articles/lab-services/how-to-configure-lab-accounts.md b/articles/lab-services/how-to-configure-lab-accounts.md
@@ -18,7 +18,7 @@ You can enable several auto-shutdown cost control features to proactively preven
 Review more details about the auto-shutdown features in the [Maximize cost control with auto-shutdown settings](cost-management-guide.md#automatic-shutdown-settings-for-cost-control) section.
 
 > [!IMPORTANT]
-> Linux labs only support automatic shut down when users disconnect and when VMs are started but users don't connect.  Support also varies depending on [specific distributions and versions of Linux](../virtual-machines/extensions/diagnostics-linux.md#supported-linux-distributions).  Shutdown settings are not supported by the [Data Science Virtual Machine - Ubuntu 18.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804) image. 
+> Linux labs only support automatic shut down when users disconnect and when VMs are started but users don't connect.  Support also varies depending on [specific distributions and versions of Linux](../virtual-machines/extensions/diagnostics-linux.md#supported-linux-distributions).  Shutdown settings are not supported by the [Data Science Virtual Machine - Ubuntu](https://azuremarketplace.microsoft.com/en-us/marketplace/apps?search=Data%20science%20Virtual%20machine&page=1&filters=microsoft%3Blinux) image. 
 
 ## Enable automatic shutdown
 
diff --git a/articles/lab-services/how-to-enable-remote-desktop-linux.md b/articles/lab-services/how-to-enable-remote-desktop-linux.md
@@ -17,7 +17,7 @@ You can also connect to a Linux VM using a **GUI** (graphical user interface). T
 In some cases, such as with Ubuntu LTS 18.04, X2Go provides better performance.  If you use RDP and notice latency when interacting with the graphical desktop environment, consider trying X2Go since it may improve performance.
 
 > [!IMPORTANT]
-> Some marketplace images already have a graphical desktop environment and remote desktop server installed.  For example, the [Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804) already has [XFCE and X2Go Server installed and configured to accept client connections](../machine-learning/data-science-virtual-machine/dsvm-ubuntu-intro.md#x2go).
+> Some marketplace images already have a graphical desktop environment and remote desktop server installed.  For example, the [Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/en-us/marketplace/apps?search=Data%20science%20Virtual%20machine&page=1&filters=microsoft%3Blinux) already has [XFCE and X2Go Server installed and configured to accept client connections](../machine-learning/data-science-virtual-machine/dsvm-ubuntu-intro.md#x2go).
 
 > [!WARNING]
 > If you need to use [GNOME](https://www.gnome.org/) or [MATE](https://mate-desktop.org/), ensure your lab VM is properly configured.  There is a known networking conflict that can occur with the Azure Linux Agent which is needed for the VMs to work properly in Azure Lab Services.  Instead, we recommend using a different graphical desktop environment, such as [XFCE](https://www.xfce.org/).
diff --git a/articles/lab-services/how-to-enable-shutdown-disconnect.md b/articles/lab-services/how-to-enable-shutdown-disconnect.md
@@ -13,7 +13,7 @@ This article shows you how you can configure [automatic shut-down](classroom-lab
 A lab plan administrator can configure automatic shutdown policies for the lab plan that you use create labs. For more information, see [Configure automatic shutdown of VMs for a lab plan](how-to-configure-auto-shutdown-lab-plans.md). As a lab owner, you can override the settings when creating a lab or after the lab is created.
 
 > [!IMPORTANT]
-> Prior to the [August 2022 Update](lab-services-whats-new.md), Linux labs only support automatic shut down when users disconnect and when VMs are started but users don't connect.  Support also varies depending on [specific distributions and versions of Linux](../virtual-machines/extensions/diagnostics-linux.md#supported-linux-distributions).  Shutdown settings are not supported by the [Data Science Virtual Machine - Ubuntu 18.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804) image.
+> Prior to the [August 2022 Update](lab-services-whats-new.md), Linux labs only support automatic shut down when users disconnect and when VMs are started but users don't connect.  Support also varies depending on [specific distributions and versions of Linux](../virtual-machines/extensions/diagnostics-linux.md#supported-linux-distributions).  Shutdown settings are not supported by the [Data Science Virtual Machine - Ubuntu](https://azuremarketplace.microsoft.com/en-us/marketplace/apps?search=Data%20science%20Virtual%20machine&page=1&filters=microsoft%3Blinux) image.
 
 ## Configure for the lab level
 
diff --git a/articles/lab-services/how-to-manage-lab-accounts.md b/articles/lab-services/how-to-manage-lab-accounts.md
@@ -113,7 +113,7 @@ The **Shut down virtual machines when users disconnect** setting supports both W
 - The Secure Shell (SSH) connection is disconnected for a Linux VM.
 
 > [!IMPORTANT]
-> Only [specific distributions and versions of Linux](../virtual-machines/extensions/diagnostics-linux.md#supported-linux-distributions) are supported.  Shutdown settings are not supported by the [Data Science Virtual Machine - Ubuntu 18.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804) image.
+> Only [specific distributions and versions of Linux](../virtual-machines/extensions/diagnostics-linux.md#supported-linux-distributions) are supported.  Shutdown settings are not supported by the [Data Science Virtual Machine - Ubuntu](https://azuremarketplace.microsoft.com/en-us/marketplace/apps?search=Data%20science%20Virtual%20machine&page=1&filters=microsoft%3Blinux) image.
 
 You can specify how long the virtual machines should wait for the user to reconnect before automatically shutting down.
 
diff --git a/articles/lab-services/how-to-prepare-windows-template.md b/articles/lab-services/how-to-prepare-windows-template.md
@@ -20,7 +20,7 @@ To protect student data from being lost if a virtual machine is reset, we recomm
 
 ### Install OneDrive
 
-To manually download and install OneDrive, see the [OneDrive](https://onedrive.live.com/about/download/) or [OneDrive for Business](https://onedrive.live.com/about/business/) download pages.
+To manually download and install OneDrive, see the [OneDrive](https://onedrive.live.com/about/download/) or [OneDrive for Business](https://www.microsoft.com/microsoft-365/onedrive/onedrive-for-business) download pages.
 
 You can also use the following PowerShell script.  It will automatically download and install the latest version of OneDrive.  Once the OneDrive client is installed, run the installer.  In our example, we use the `/allUsers` switch to install OneDrive for all users on the machine. We also use the `/silent` switch to silently install OneDrive.
 
diff --git a/articles/lab-services/how-to-setup-lab-gpu-1.md b/articles/lab-services/how-to-setup-lab-gpu-1.md
@@ -24,7 +24,7 @@ On the first page of the lab creation wizard, in the **Which virtual machine siz
 
 In this process, you have the option of selecting either **Visualization** or **Compute** GPUs.  It's important to choose the type of GPU that's based on the software that your students will use.  
 
-As described in the following table, the *compute* GPU size is intended for compute-intensive applications.  For example, the [Deep Learning in Natural Language Processing class type](./class-type-deep-learning-natural-language-processing.md) uses the **Small GPU (Compute)** size.  The compute GPU is suitable for this type of class, because students use deep learning frameworks and tools that are provided by the [Data Science Virtual Machine image](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804) to train deep learning models with large sets of data.
+As described in the following table, the *compute* GPU size is intended for compute-intensive applications.  For example, the [Deep Learning in Natural Language Processing class type](./class-type-deep-learning-natural-language-processing.md) uses the **Small GPU (Compute)** size.  The compute GPU is suitable for this type of class, because students use deep learning frameworks and tools that are provided by the [Data Science Virtual Machine image](https://azuremarketplace.microsoft.com/en-us/marketplace/apps?search=Data%20science%20Virtual%20machine&page=1&filters=microsoft%3Blinux) to train deep learning models with large sets of data.
 
 | Size | vCPUs | RAM | Description |
 | ---- | ----- | --- | ----------- |
diff --git a/articles/lab-services/how-to-setup-lab-gpu.md b/articles/lab-services/how-to-setup-lab-gpu.md
