60 most important Data analytics mcq with answers pdf

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Data Analytics sppu mcq

1. ———- data that depends on data model and resides in a fixed field within
a record.

A : Structured data
B : Un-Structured data
C : Semi-Structured data
D : Scattere

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Structured data

2. ———- plot displays information as series of data points connected by
straight lines.

A : Bar
B : Line
C : Scatter
D : Histogram

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Line

Data analytics mcq with answers for SPPU

3. —————- is about developing code to enable the machine to learn to
perform tasks and its basic principle is the automatic modeling of underlying that
have generated the collected data.

A : Data Science
B : Data Analytics
C : Data Warehousing
D : Data mining

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Data Analytics

4. The ——– function creates a 2-D array with all values 1.

A : numpy. Ones()
B : numpy.zeros()
C : numpy.eye()
D : numpy.empty()

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numpy. Ones()

5. —————- method is dataframe reads first n rows from dataframe

A : head(n)
B : tail(n)
C : first(n)
D : start(n)

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head(n)

6. Numpy support this function to find trigonometric sine elementwise .

A : numpy.sin()
B : numpy.cosine()
C : numpy.tangent()
D : numpy.rad2sin(x1)

numpy.sin()

Computer Networks mcq questions and answers

7.  Apriori algorithm is ————— machine learning algorithm.

A : Un- Supervised
B : Supervised
C : Both of these
D : None of These

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Un- Supervised

8. Which library from python is used for implementing machine learning
algorithms?

A : Scikit-Learn
B : Pandas
C : Matplotlib
D : Numpy

Scikit-Learn

9. Which of the following is not a raster image file format?-

A : PNG
B : JPG
C : BMP
D : PDF

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PDF

10. K- nearest neighbors algorithm is based on ————– learning

A : Un- Supervised
B : Supervised
C : Association
D : correlation

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Un- Supervised

Data analytics mcq with answers

11. —————– is an example of human generated unstructured data.

A : YouTube data
B : Satellite data
C : Sensor data
D : Seismic imagery data

YouTube data

12. Which of the following is NOT supervised learning

A : PCA
B : Decision Tree
C : Linear Regression
D : Naive Bayesian

PCA

13.

———– is supervised machine learning algorithm outputs an optimal
hyperplane for given labled training data

A : KNN
B : Support Vector Machines
C : Regression
D : Decision Tree

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Support Vector Machines

14.

———— rule mining is a technique to identify underlying relations
between different items.

A : Classification
B : Regression
C : Clustering
D : Association

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Association

15. ————-type of analytics descibes what happened in past

A : Descriptive
B : Prescriptive
C : Predictive
D : Probability

Descriptive

16. —————– analysis estimates the relationship between single dependent
variable and single independent variable

A : Simple Regression
B : Multiple regression
C : Correlation
D : Probability

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Simple Regression

17. ——- is basic data structure of pandas can be think of SQL table or a
spreadsheet data representation.

A : Dataframe
B : series
C : list
D : ndarray

Dataframe

18. -From matplotlib—————— module is used for plotting various plots.

A : Scilearn
B : Pyplot
C : Scilab
D : Matlab

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Pyplot()

19. A perfect negative correlation is signified by ————-

A : 1
B : -1
C : 0
D : 2

0

20. In matplotlib library ————- module supports basic image loading,
rescaling and display operations

A : picture
B : image
C : pyplot
D : sympy

image

Data analytics mcq questions and answers

21. ——— function from matplotlib.pyplot library plots bar graph for given
values of x and y.

A : plot()
B : draw()
C : bar()
D : linedraw()

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bar()

22. ———- is unsupervised technique aiming to divide a multivariate dataset
into clusters or groups.

A : KNN
B : Support Vector Machines
C : Regression
D : Cluster analysis

Cluster analysis

23. ——– is most important language for Data Science.

A : Java
B : Ruby
C : R
D : None of these

R

24. The number of iterations in apriori ————–

A : increases with the size of the data
B : decreases with the increase in size of the data
C : increases with the size of the maximum frequent set
D : decreases with increase in size of the maximum frequent set

increases with the size of the maximum frequent set

25. Which of the following is used as attribute selection measure in decision
tree algorithms?

A : Information Gain
B : Posterior probability
C : Prior probability
D : Support

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Information Gain

Big data analytics mcq

26. ———–is not one of the key data science skill.

A : Statistics
B : Machine Learning
C : Data Visualization
D : software tester

software tester

27. ————— searches for the linear optimal separating hyperplane for
separation of the data using essential training tuples called support vectors

A : Decision tree
B : Association Rule Mining
C : Clustering
D : Support vector machines

Support vector machines

28. ——————- is a one dimensiional array defined in pandas that can be
used to store any data type.

A : Dict
B : series
C : ndarray
D : list

series

29. JSON file data is an example of ———-

A : Structured data
B : Un-Structured data
C : Semi-Structured data
D : Scattered

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Semi-Structured data

30. In regression the independent variable is also called as ———–

A : Regressor
B : Continuous
C : Regressand
D : Estimated

Regressor. independent variable is also called as predictors or explanatory variable

31. ———– function from scipy is used to calculate the distance between all
pairs of points in a given set.

A : scipy.spatial.distance()
B : scipy.spatial.distance.measure()
C : scipy.spatial.distance.cdist()
D : distance(x1,y1)

scipy.spatial.distance()

32. Which of the following task is not performed by Data Scientist

A : Define the question
B : Create reproducible code
C : Challenge results
D : Staff Recruitement

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Define the question

33. To determine basic salary of a employee when his qualification is given is a ———– problem

A : Correlation
B : Regression
C : Association
D : Qualitative

Qualitative

34. Which function from numpy used to return the truncated value of the input elementwise?

A : round()
B : trunc()
C : del()
D : remove_decimal()

trunc()

35. Apriori algorithm uses breadth first search and ————structure to count candidate item sets efficiently.

A : Decision tree
B : Hash tree
C : Red-Black Tree
D : AVL Tree

Hash tree

36. The strength (degree) of the correlation between a set of independent variables X and a dependent variable Y is measured by————-

A : Coefficient of Correlation
B : Coefficient of Determination
C : Standard error of estimate
D : Probability

Coefficient of Correlation

37. When there is no impact on one variable when increse or decrese on other variable then it is ————

A : Perfect correlation
B : No Correlation
C : Positive Correlation
D : Negative Correlation

No Correlation

38.In matplotlib ————– is container class for figure instance.

A : Axes
B : Canvas
C : Figure
D : FigureCanvas

FigureCanvas

39. Plot_number parameter from subplot() function can range from 1 to —–

A : nrows*ncols
B : max
C : nrows
D : ncols

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nrows*ncols

40.In unsupervised learning, scikit learn uses ——————- method to infer properties of the data..

A : extract()
B : transform()
C : infer()
D : classify()

transform()

41. In dataframe to compute summary statistics like mean, standard deviation, min and max count etc for each numerical column ———- function is used..

A : display()
B : head()
C : describe()
D : sort()

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describe()

Data analytics mcq sppu

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