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Summary

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In this module, you configured and created an Azure Data Science Virtual Machine (DSVM). You then connected to that DSVM. You used some of the data-science-oriented software installed on the machine. The DSVM is available in both Ubuntu and Windows varieties, with much of the same software installed. However, some software is available only on one or the other.

Learn more

For more information about the Azure DSVM, visit:

• Data Science Virtual Machines on Azure
• What tools are included on the Azure Data Science Virtual Machine?

Hardware and cost of the Data Science Virtual Machine

1.

On what hardware does the Data Science Virtual Machine run?

On your local client machine.

On any internet-accessible computer with compatible hardware.

On an Azure compute resource that you can customize to your needs and budget. After you specify the resource, you can't change the hardware.

On an Azure compute resource that you can customize to your needs and budget. You can change this resource as your needs change.

2.

Using GPU resources on the Data Science Virtual Machine requires:

The Data Science Virtual Machine doesn't support GPU scenarios.

GPU support is universally available on Data Science Virtual Machines.

GPU support is available only on GPU-enabled Azure compute resources and requires no user configuration.

GPU support is available only on GPU-enabled Azure compute resources and requires user configuration.

3.

Charges for the Data Science Virtual Machine start and stop:

From creation of the Data Science Virtual Machine until you delete the resource.

From when you start the Data Science Virtual Machine to when you stop it.

From when you sign in to the Data Science Virtual Machine until you sign out.

For the time that any process on the Data Science Virtual Machine is running under your account.

You must answer all questions before checking your work.

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