Wayground logo

Free Printable Worksheets

Font size

S
M
L
XL
Worksheets

SET Data Science Trivia

Total questions: 30

Worksheet time: 15mins

Name
Class
Date
1.

Who can be a data scientist?

a)

Consultant

b)

Statistician

c)

Software Developer

d)

All of the above

2.

What does a data scientist do?

a)

Nothing, it's just a buzz word

b)

Create reproducible code

c)

Challenge results

d)

All of the above

3.

________ is a multidisciplinary which involves extaction of knowledge from large volumes of structured or unstructured data.

a)

Data Science

b)

Data Analysis

c)

Descriptive Analysis

d)

None of the above

4.

Which of the following testing is concerned with making decisions using data?

a)

Probability

b)

Casual

c)

Hypothesis

d)

None of the above

5.

The 3 V's of Big Data are volume, velocity, and variety.

a)

True

b)

False

6.

Tableau can create worksheet-specific filters.

a)

True

b)

False

7.

Mean, Median, and Mode are measure of central tendency.

a)

True

b)

False

8.

A collection of facts such as test scores, drawings, photographs, and inventory figures is called

a)

Quantity

b)

Product

c)

Data

d)

Collector's item

9.

Regardless of the kind of data processed or the kind of devices or equipment used, all data processing systems involve

a)

Analyzing, logic determination, and coding

b)

Input, storage, and processing

c)

Processing, storage, and distribution

d)

Input, processing, and output

10.

The earliest data processing equipment were all manual-mechanical devices due to the

a)

Needs of the time

b)

Lack of adequate funds

c)

Absence of electricity and adequate technology

d)

Lack of government support

11.

All computers have common basic functions which are

a)

Recording, processing, and output

b)

Input, storage, and merging

c)

Processing, sorting, classifying, and output

d)

Input, processing, storage, and output

12.

Not included in data processing cycle steps

a)

Input

b)

Processing

c)

Output

d)

None of the above

13.

Categories of data processing

a)

Mechanical Data Processing

b)

Electronic Data Processing

c)

All of the above

14.

One person's information may be another person's data

a)

True

b)

False

15.

Data is raw material gathered from one or more sources

a)

True

b)

False

16.

It is a process that returns to its beginning and repeats itself in the same sequence.

a)

Repeater

b)

Cycle

c)

Sequential

d)

None of the above

17.

Which of the following is needed in K-means clustering?

a)

Number of clusters

b)

Defined distance metrics

c)

Initial guess as to cluster centroids

d)

All of the above

18.

Which of the following is not an assumption of linear regression?

a)

Linear relationship

b)

Auto-correlation

c)

Homoscedasticity

d)

Multivariate normality

19.

Which is not an activation function in neural networks?

a)

PReLu

b)

sine

c)

ReLu

d)

sigmoid

20.

Which is not a hyperparameter in decision trees?

a)

max_depth

b)

max_features

c)

criterion

d)

min_samples_split

21.

Which of the following are some of the regularization methods?

a)

Elasticnet

b)

.L2 Ridge

c)

L1 LASSO

d)

All of the above

22.

Which of the following packages provies machine learning functionality?

a)

gbm/pamr

b)

Knitr

c)

cacheSweave

d)

All of the above

23.

R is technically much closer to the scheme language than it is to the original _______ language.

a)

S

b)

C#

c)

C++

d)

C

24.

Normal random numbers can be generated with rnorm() by setting seed value to:

a)

1

b)

2

c)

3

d)

4

25.

______ prints out the function call stack after an error occurs.

a)

traceback()

b)

back()

c)

trace()

d)

All of the above

26.

_______ applies a function over the margins of an array.

a)

apply()

b)

mapply()

c)

lapply()

d)

tapply()

27.

What are the roles and responsibilities of a data scientist?

a)

Data mining

b)

Data visualization

c)

Advising the business on the potential of data

d)

All of the above

28.

Which of the following characteristic of big data is relatively more concerned to data science?

a)

Velocity

b)

Variety

c)

Volume

d)

None of the above

29.

Beyond Volume, variety and velocity are the issues of big data veracity.

a)

True

b)

False

30.

Which of the following approaches should be used to ask Data Analysis questions?

a)

Find only one solution for particular problem

b)

Find out the question which is to be answered

c)

Find out answers from dataset without asking question

d)

None of the above