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
Sign in to the Azure portal by using the same account that you activated the sandbox with.
Select the Create a resource option in the upper-left corner of the portal page. The Azure Marketplace pane opens.
As you can see, there are many selectable options. We want to create a DSVM running on Ubuntu.
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.
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
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.
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.
On the review screen, verify that all the settings are the way you want them. Select Create.
You can monitor the deployment through the Notifications panel. Select the icon on the top toolbar to show or hide the panel.
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.
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.
Congratulations! By performing a few steps, you deployed a DSVM running on Linux. Now let's connect to it.