Data and Big Data Quiz iLearn L1

Data and Big Data Quiz iLearn L1

University

14 Qs

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Data and Big Data Quiz iLearn L1

Data and Big Data Quiz iLearn L1

Assessment

Quiz

Computers

University

Hard

Created by

Jerry Jackson Bent

Used 1+ times

FREE Resource

14 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary difference between data and information?

Data is always qualitative, while information is always quantitative.

Data is always structured, while information is always unstructured.

Data is raw facts and figures, while information is processed data.

Data is always numerical, while information is always textual.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of qualitative data?

The temperature is 22.6°C.

There are 3 cars in the parking lot.

I feel satisfied with my job.

The ocean is 3.78 meters deep.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of data can be broken down into discrete and continuous categories?

Quantitative data

Structured data

Unstructured data

Qualitative data

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic of discrete data?

It can take on any value within a range.

It is always positive.

It is always negative.

It can only take on whole numbers.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main advantage of using NoSQL databases for qualitative data?

They are always faster than SQL databases.

They allow for easier collection and storage of unstructured data.

They are cheaper than SQL databases.

They automatically convert qualitative data to quantitative data.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus of big data analysis?

To reduce the volume of data.

To increase the speed of data processing.

To convert all data into structured data.

To extract meaningful value from large data sets.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT one of the 5 V's of big data?

Validity

Variety

Velocity

Volume

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