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  1. Sep 24, 2021 · You can use printer permissions to restrict the use of printers without setting a policy. In the Printers folder, right-click a printer, click Properties , and then click the Security tab. Display the down level page in the Add Printer wizard : Permits users to browse the network for shared printers in the Add Printer wizard.

  2. Oct 18, 2022 · Sign in to the Azure portal. In the Azure portal, navigate to your Automation account. Under Account Settings, select Identity. Select the User assigned tab, and then select Add. Select your existing user-assigned managed identity and then select Add. You'll then be returned to the User assigned tab.

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    Aug 31, 2016 · Technical Scenarios for Windows Server Install and Deploy Windows Server Migrate Roles and Features to Windows Server Secure Windows Server Manage Privacy Support Windows Server Server Roles and Technologies Management and Tools Management and Tools Windows PowerShell Support Manage Multiple, Remote Servers with Server Manager

  4. Dec 16, 2022 · Audit Sensitive Privilege Use contains events that show the usage of sensitive privileges. This is the list of sensitive privileges: Act as part of the operating system Back up files and directories Restore files and directories Create a token object Debug programs Enable computer and user accounts to be trusted for delegation

  5. Jan 26, 2023 · Instead of using a text editor to create your configuration file, we recommend that you use the Office Customization Tool (OCT). The OCT provides a web-based interface for making your selections and creating your configuration file to be used with the Office Deployment Tool. For more information, see Overview of the Office Customization Tool.

  6. Oct 26, 2022 · As the Microsoft 365 administrator, you can enable your users to sign in to Outlook for Android or iOS app on their mobile devices without having to enter their username and password. By scanning a QR code, users can securely authenticate and sign in to Outlook mobile.

  7. Jun 22, 2022 · To train the model, you have to loop over our data iterator, feed the inputs to the network, and optimize. PyTorch doesn’t have a dedicated library for GPU use, but you can manually define the execution device. The device will be an Nvidia GPU if exists on your machine, or your CPU if it does not. Add the following code to the file

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