Building Your First Data Science Project in Microsoft Azure Flashcards Preview

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Flashcards in Building Your First Data Science Project in Microsoft Azure Deck (10)
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1

When does the data science process end?

Once Data Backups are created

After the automation pipeline is done

The database is completed

A trained model is published

Never, it is cyclical

Never, it is cyclical

2

What is unique to data cycles in regards to hype cycles?

It was shorter than other hype cycles in industry

It has lasted longer than most other in the industry

The hype cycles are justified due to industry impact

There have been multiple over the past few years

There have been multiple over the past few years

3

How can you get others to treat data as an enterprise asset?

Assign internal value

Create a data marketplace

Create a data policy

Use market leverage

Create a data policy

4

Which is not one of the top data languages presented in data science?

R

C#

Python

SQL

C#

5

Which disk type provides the best performance for an Azure Virtual Machine?

Premium SSD

Standard SSD

Ultra Disk

Standard HDD

Ultra Disk

6

Which machine series has GPU capabilities?


DC

D

E

Ls

N

N

7

What allows you to create and manage a group of identical, load balanced VMs?

Virtual Machine Groups

Virtual Machine Resource Groups

Virtual Machine Scale Sets

Virtual Machine Mirrors

Virtual Machine Scale Sets

8

What service can be used to prevent data lose in an Azure VM?

Azure Vault

Azure Backup

Azure Lose Prevention

Azure Restore

Azure Backup

9

Which data platform tool has a local instance available on the Azure Data Science Virtual Machine?

Azure Blob Storage

Postgres 10.1

MySql 12.1

SQL Server 2016 Developer Edition

Cosmos DB

SQL Server 2016 Developer Edition

10

Which Microsoft Tool supports Git on the Azure Data Science Virtual Machine?

Pycharm

GitKraken

Visual Studio Code

Git Desktop

Source Tree

Visual Studio Code