Exercise: Create a Data Science Virtual Machine


Referring to our scenario, let's say that you've decided to work on an Ubuntu DSVM. To do so, you'll specify its configuration and create a resource in your resource group.

Create a Data Science Virtual Machine using the Azure portal

  1. Sign in to the Azure portal by using the same account that you activated the sandbox with.

  2. Select the Create a resource option in the upper-left corner of the portal page. The Azure Marketplace pane opens.

    Screenshot that shows Azure Marketplace with the option for creating a resource highlighted.

    As you can see, there are many selectable options. We want to create a DSVM running on Ubuntu.

  3. In the Search the Marketplace search bar, enter Data Science. Select the Data Science Virtual Machine - Ubuntu 18.04 option. The Data Science Virtual Machine - Ubuntu 18.04 pane appears.

    Screenshot that shows a search box with Data Science Virtual Machine Ubuntu Server 18.04 highlighted.

  4. Select Create. The Create a virtual machine pane appears. Notice the wizard-based approach that we can use to configure the VM.

Configure the VM

  1. To configure the basic parameters of our Ubuntu virtual machine, in the Basics tab, enter the following values for each setting.

    Setting Value
    Project details
    Subscription Concierge Subscription
    Resource group [sandbox resource group name]. (This is the sandbox resource group.)
    Instance details
    Virtual machine name test-ubuntu-dsvm
    Region Select a region near you. It should be the same as that of the resource group.
    Availability options No infrastructure redundancy required
    Image Data Science Virtual Machine - Ubuntu 18.04 - Gen1
    Size Standard_DS1_v2. If that's not the selected value: Select See all sizes link; Enter DS1_ in the search box; Select the DS1_v2 row; Select Select to choose that size and return to the configuration screen.
    Administrator account
    Authentication type Password
    Username Enter a string from 1 to 64 characters long.
    Password Enter a strong password.

    Screenshot that shows the details filled out for V M configuration.

  2. You can explore several other tabs to see the settings that you can influence during the VM creation. On the Disks tab, for example, you can specify your data disks. After you're finished exploring, select Review + create to review and validate the settings.

  3. On the review screen, verify that all the settings are the way you want them. Select Create.

  4. You can monitor the deployment through the Notifications panel. Select the icon on the top toolbar to show or hide the panel.

  5. The VM deployment process takes a few minutes to finish. A notification will inform you that the deployment succeeded. Select Go to resource to go to the VM overview page.

  6. You can see all the information and configuration options for your newly created DSVM. One of the pieces of information is the Public IP address value. Make note of this IP address, because you'll need it to connect.

    Screenshot that shows the VM overview page with the public I P address to the V M highlighted.

Congratulations! By performing a few steps, you deployed a DSVM running on Linux. Now let's connect to it.