Building Your First Data Science Project in Microsoft Azure

Question 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

Answer 1

Never, it is cyclical

Question 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

Answer 2

There have been multiple over the past few years

Question 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

Answer 3

Create a data policy

Question 4

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

R

C#

Python

SQL

Answer 4

C#

Question 5

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

Premium SSD

Standard SSD

Ultra Disk

Standard HDD

Answer 5

Ultra Disk

Question 6

Which machine series has GPU capabilities?

DC

D

E

Ls

N

Answer 6

N

Question 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

Answer 7

Virtual Machine Scale Sets

Question 8

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

Azure Vault

Azure Backup

Azure Lose Prevention

Azure Restore

Answer 8

Azure Backup

Question 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

Answer 9

SQL Server 2016 Developer Edition

Question 10

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

Pycharm

GitKraken

Visual Studio Code

Git Desktop

Source Tree

Answer 10

Visual Studio Code