2.6: Introduction to data analysis Flashcards

1
Q

What is the term used to describe working with large amounts of data to gain insights?

a) Big data analysis

b) Data visualization

c) Data transformation

d) Data storage

A

a) Big data analysis

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2
Q

Why is it expensive to build analytical tools in your own data center?

a) Specialist tools are required

b) It requires a large amount of storage capacity

c) It requires high computational power

d) It requires a dedicated team of data scientists

A

a) Specialist tools are required

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3
Q

Where can you find popular data tools for loading, transforming, and analyzing data?

a) Azure Marketplace

b) Azure Storage Accounts

c) Azure Data Factory

d) Azure Data Lake Analytics

A

a) Azure Marketplace

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4
Q

What are some examples of data sources for data analytics?

a) Sales and marketing databases

b) Product inventories

c) HR data

d) All of the above

A
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