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BrokenLinkBugs: CATS 4/6/20 external links
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articles/active-directory/fundamentals/whats-new-archive.md

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In July 2019, we've added these 18 new apps with Federation support to the app gallery:
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[Ungerboeck Software](https://docs.microsoft.com/azure/active-directory/saas-apps/ungerboeck-software-tutorial), [Bright Pattern Omnichannel Contact Center](https://docs.microsoft.com/azure/active-directory/saas-apps/bright-pattern-omnichannel-contact-center-tutorial), [Clever Nelly](https://docs.microsoft.com/azure/active-directory/saas-apps/clever-nelly-tutorial), [AcquireIO](https://docs.microsoft.com/azure/active-directory/saas-apps/acquireio-tutorial), [Looop](https://www.looop.co/schedule-a-demo/), [productboard](https://docs.microsoft.com/azure/active-directory/saas-apps/productboard-tutorial), [MS Azure SSO Access for Ethidex Compliance Office™](https://docs.microsoft.com/azure/active-directory/manage-apps/what-is-single-sign-on#password-based-sso), [Hype](https://docs.microsoft.com/azure/active-directory/saas-apps/hype-tutorial), [Abstract](https://docs.microsoft.com/azure/active-directory/saas-apps/abstract-tutorial), [Ascentis](https://docs.microsoft.com/azure/active-directory/saas-apps/ascentis-tutorial), [Flipsnack](https://www.flipsnack.com/accounts/sign-in-sso.html), [Wandera](https://docs.microsoft.com/azure/active-directory/saas-apps/wandera-tutorial), [TwineSocial](https://twinesocial.com/), [Kallidus](https://docs.microsoft.com/azure/active-directory/saas-apps/kallidus-tutorial), [HyperAnna](https://docs.microsoft.com/azure/active-directory/saas-apps/hyperanna-tutorial), [PharmID WasteWitness](https://www.pharmid.com/), [i2B Connect](https://www.i2b-online.com/sign-up-to-use-i2b-connect-here-sso-access/), [JFrog Artifactory](https://docs.microsoft.com/azure/active-directory/saas-apps/jfrog-artifactory-tutorial)
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[Ungerboeck Software](https://docs.microsoft.com/azure/active-directory/saas-apps/ungerboeck-software-tutorial), [Bright Pattern Omnichannel Contact Center](https://docs.microsoft.com/azure/active-directory/saas-apps/bright-pattern-omnichannel-contact-center-tutorial), [Clever Nelly](https://docs.microsoft.com/azure/active-directory/saas-apps/clever-nelly-tutorial), [AcquireIO](https://docs.microsoft.com/azure/active-directory/saas-apps/acquireio-tutorial), [Looop](https://www.looop.co/schedule-a-demo/), [productboard](https://docs.microsoft.com/azure/active-directory/saas-apps/productboard-tutorial), [MS Azure SSO Access for Ethidex Compliance Office™](https://docs.microsoft.com/azure/active-directory/manage-apps/what-is-single-sign-on#password-based-sso), [Hype](https://docs.microsoft.com/azure/active-directory/saas-apps/hype-tutorial), [Abstract](https://docs.microsoft.com/azure/active-directory/saas-apps/abstract-tutorial), [Ascentis](https://docs.microsoft.com/azure/active-directory/saas-apps/ascentis-tutorial), [Flipsnack](https://www.flipsnack.com/accounts/sign-in-sso.html), [Wandera](https://docs.microsoft.com/azure/active-directory/saas-apps/wandera-tutorial), [TwineSocial](https://twinesocial.com/), [Kallidus](https://docs.microsoft.com/azure/active-directory/saas-apps/kallidus-tutorial), [HyperAnna](https://docs.microsoft.com/azure/active-directory/saas-apps/hyperanna-tutorial), [PharmID WasteWitness](https://pharmid.com/), [i2B Connect](https://www.i2b-online.com/sign-up-to-use-i2b-connect-here-sso-access/), [JFrog Artifactory](https://docs.microsoft.com/azure/active-directory/saas-apps/jfrog-artifactory-tutorial)
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For more information about the apps, see [SaaS application integration with Azure Active Directory](https://aka.ms/appstutorial). For more information about listing your application in the Azure AD app gallery, see [List your application in the Azure Active Directory application gallery](https://aka.ms/azureadapprequest).
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articles/active-directory/saas-apps/itrp-tutorial.md

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`https://<tenant-name>.itrp.com`
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> [!NOTE]
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> These values are placeholders. You need to use the actual sign-on URL and identifier. Contact the [ITRP support team](https://www.itrp.com/support) to get the values. You can also refer to the patterns shown in the **Basic SAML Configuration** dialog box in the Azure portal.
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> These values are placeholders. You need to use the actual sign-on URL and identifier. Contact the [ITRP support team](https://www.4me.com/support/) to get the values. You can also refer to the patterns shown in the **Basic SAML Configuration** dialog box in the Azure portal.
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5. In the **SAML Signing Certificate** section, select the **Edit** icon to open the **SAML Signing Certificate** dialog box:
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articles/batch/batch-visual-studio-templates.md

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[nuget_package]: https://www.nuget.org/packages/Microsoft.Azure.Batch.Conventions.Files
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[process_exitcode]: https://msdn.microsoft.com/library/system.diagnostics.process.exitcode.aspx
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[vs_gallery]: https://visualstudiogallery.msdn.microsoft.com/
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[vs_gallery_templates]: https://go.microsoft.com/fwlink/?linkid=820714
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[vs_gallery_templates]: https://github.com/Azure/batch-extension-templates
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[vs_find_use_ext]: https://msdn.microsoft.com/library/dd293638.aspx
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[diagram01]: ./media/batch-visual-studio-templates/diagram01.png

articles/cognitive-services/Speech-Service/includes/text-to-speech-container-query-endpoint.md

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The container provides [REST-based endpoint APIs](../rest-text-to-speech.md). There are many [sample source code projects](https://azure.microsoft.com/resources/samples/cognitive-speech-tts/) for platform, framework, and language variations available.
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The container provides [REST-based endpoint APIs](../rest-text-to-speech.md). There are many [sample source code projects](https://github.com/Azure-Samples/Cognitive-Speech-TTS) for platform, framework, and language variations available.
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With the *Standard Text-to-speech* container, you should rely on the locale and voice of the image tag you downloaded. For example, if you downloaded the `latest` tag the default locale is `en-US` and the `JessaRUS` voice. The `{VOICE_NAME}` argument would then be [`en-US-JessaRUS`](../language-support.md#standard-voices). See the example SSML below:
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articles/lab-services/classroom-labs/administrator-guide.md

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When you set up a lab account, you set policies that apply to *all* classroom labs under the lab account, such as:
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- The Azure virtual network with shared resources that the classroom lab can access. For example, you may have a set of classroom labs that need access to a shared data set within a virtual network.
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- The virtual machine (VM) images that the classroom labs can use to create VMs. For example, you may have a set of classroom labs that need access to the [Data Science VM for Linux](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.linux-data-science-vm-ubuntu) Marketplace image.
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- The virtual machine (VM) images that the classroom labs can use to create VMs. For example, you may have a set of classroom labs that need access to the [Data Science VM for Linux](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804) Marketplace image.
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If you have classroom labs that have unique policy requirements from one another, it may be beneficial to create separate lab accounts to manage these classroom labs separately.
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articles/lab-services/classroom-labs/class-type-deep-learning-natural-language-processing.md

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| Lab settings | Value/instructions |
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| ------------ | ------------------ |
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| 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. |
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| VM image | [Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.linux-data-science-vm-ubuntu). 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 the following article: [What’s included on the DSVM?](../../machine-learning/data-science-virtual-machine/overview.md#whats-included-on-the-dsvm). |
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| 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 the following article: [What’s included on the DSVM?](../../machine-learning/data-science-virtual-machine/overview.md#whats-included-on-the-dsvm). |
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| Enable remote desktop connection | Enable. <p>Enabling this setting will allow teachers and students to connect to their Virtual Machines (VM) using Remote Desktop (RDP).</p><p>**Important**: RDP is already installed and configured on the Data Science Virtual Machine for Linux image. As a result, teachers/students can connect to VMs via RDP without any additional steps. Also, if you need to connect to the graphical desktop, this image already has [X2Go Server](https://wiki.x2go.org/doku.php/doc:newtox2go) installed on the virtual machine. Students must install X2Go client on their local machines and must use the client for connecting. For more information, see the following guides: <ul><li>[How to access the Data Science Virtual Machine for Linux](../../machine-learning/data-science-virtual-machine/dsvm-ubuntu-intro.md#how-to-access-the-ubuntu-data-science-virtual-machine)</li><li>[Connect to the template VM to install RDP and GUI packages](how-to-enable-remote-desktop-linux.md#connect-to-the-template-vm)</li></ul></p> |
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The Data Science Virtual Machine for Linux image provides the necessary deep learning frameworks and tools required for this type of class. As a result, after the template machine creation, you don't need to customize it further. It can be published for students to use. Select the **Publish** button on template page to publish the template to the lab.

articles/lab-services/classroom-labs/class-type-jupyter-notebook.md

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| Marketplace image | Enable the [Data Science Virtual Machine - Windows 2019](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2019) image for use within your lab account. |
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>[!TIP]
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>This article will focus on configuring a template machine that uses the Windows Server operating system. It's also possible to set up a data science class with Python and Jupyter Notebooks using [Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.linux-data-science-vm-ubuntu) images from the Azure Marketplace.
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>This article will focus on configuring a template machine that uses the Windows Server operating system. It's also possible to set up a data science class with Python and Jupyter Notebooks using [Data Science Virtual Machine for Linux (Ubuntu)](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804) images from the Azure Marketplace.
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articles/machine-learning/data-science-virtual-machine/linux-dsvm-walkthrough.md

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Before you can use a Linux DSVM, you must have the following prerequisites:
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* **Azure subscription**. To get an Azure subscription, see [Create your free Azure account today](https://azure.microsoft.com/free/).
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* [**Linux Data Science Virtual Machine**](https://azure.microsoft.com/marketplace/apps/microsoft-dsvm.linux-data-science-vm-ubuntu). For information about provisioning the virtual machine, see [Provision the Linux Data Science Virtual Machine](linux-dsvm-intro.md).
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* [**Linux Data Science Virtual Machine**](https://azure.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804). For information about provisioning the virtual machine, see [Provision the Linux Data Science Virtual Machine](linux-dsvm-intro.md).
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* [**X2Go**](https://wiki.x2go.org/doku.php) installed on your computer with an open XFCE session. For more information, see [Install and configure the X2Go client](linux-dsvm-intro.md#x2go).
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* For a smoother scrolling experience, in the DSVM's Firefox web browser, toggle the `gfx.xrender.enabled` flag in `about:config`. [Learn more](https://www.reddit.com/r/firefox/comments/4nfmvp/ff_47_unbearable_slow_over_remote_x11/). Also consider setting `mousewheel.enable_pixel_scrolling` to `False`. [Learn more](https://support.mozilla.org/questions/981140).
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* **Azure Machine Learning account**. If you don't already have one, sign up for a new account on the [Azure Machine Learning home page](https://azure.microsoft.com/free/services/machine-learning//).

articles/machine-learning/team-data-science-process/platforms-and-tools.md

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Currently DSVM is available in **Windows** and **Linux CentOS** operating systems. Choose the size of your DSVM (number of CPU cores and the amount of memory) based on the needs of the data science projects that you are planning to execute on it.
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For more information on Windows edition of DSVM, see [Microsoft Data Science Virtual Machine](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2019) on the Azure Marketplace. For the Linux edition of the DSVM, see [Linux Data Science Virtual Machine](https://azure.microsoft.com/marketplace/apps/microsoft-dsvm.linux-data-science-vm-ubuntu).
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For more information on Windows edition of DSVM, see [Microsoft Data Science Virtual Machine](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2019) on the Azure Marketplace. For the Linux edition of the DSVM, see [Linux Data Science Virtual Machine](https://azure.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804).
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To learn how to execute some of the common data science tasks on the DSVM efficiently, see [10 things you can do on the Data science Virtual Machine](../data-science-virtual-machine/vm-do-ten-things.md)
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articles/mysql/howto-create-users.md

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Open the firewall for the IP addresses of the new users' machines to enable them to connect:
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[Create and manage Azure Database for MySQL firewall rules by using the Azure portal](howto-manage-firewall-using-portal.md) or [Azure CLI](howto-manage-firewall-using-cli.md).
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For more information regarding user account management, see MySQL product documentation for [User account management](https://dev.mysql.com/doc/refman/5.7/en/user-account-management.html), [GRANT Syntax](https://dev.mysql.com/doc/refman/5.7/en/grant.html), and [Privileges](https://dev.mysql.com/doc/refman/5.7/en/privileges-provided.html).
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For more information regarding user account management, see MySQL product documentation for [User account management](https://dev.mysql.com/doc/refman/5.7/en/access-control.html), [GRANT Syntax](https://dev.mysql.com/doc/refman/5.7/en/grant.html), and [Privileges](https://dev.mysql.com/doc/refman/5.7/en/privileges-provided.html).

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