2.7: Introduction to Azure Data Factory

Question 1

What is the purpose of Azure Data Factory?

a) Automating the movement and ingestion of data

b) Managing virtual machines in Azure

c) Analyzing data for insights

d) Securing Azure storage accounts

Answer 1

a) Automating the movement and ingestion of data

Question 2

How is Azure Data Factory priced?

a) Fixed monthly subscription fee

b) Pay-as-you-go based on usage

c) Free for Azure certification holders

d) One-time purchase with unlimited usage

Answer 2

b) Pay-as-you-go based on usage

Question 3

What are data sets used for in Azure Data Factory?

a) Defining data sources and outputs

b) Creating virtual machines in Azure

c) Managing Azure storage accounts

d) Performing data analysis

Answer 3

a) Defining data sources and outputs

Question 4

Which component of Azure Data Factory allows you to connect to on-premises file servers?

a) Copy activity

b) Data flow

c) Integration runtime

d) Data set

Answer 4

c) Integration runtime

Question 5

What types of data sources can Azure Data Factory connect to?

a) Storage accounts and databases

b) Virtual machines and containers

c) Web services and APIs

d) All of the above

Answer 5

d) All of the above

Question 6

How does Azure Data Factory simplify data flow?

a) By automating and simplifying data movement steps

b) By providing real-time data analysis

c) By optimizing storage account performance

d) By securing data transfers between services

Answer 6

a) By automating and simplifying data movement steps