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
Structured data
2. ———- plot displays information as series of data points connected by
straight lines.
A : Bar
B : Line
C : Scatter
D : Histogram
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
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()
numpy. Ones()
5. —————- method is dataframe reads first n rows from dataframe
A : head(n)
B : tail(n)
C : first(n)
D : start(n)
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
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
10. K- nearest neighbors algorithm is based on ————– learning
A : Un- Supervised
B : Supervised
C : Association
D : correlation
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
Support Vector Machines
14.
———— rule mining is a technique to identify underlying relations
between different items.
A : Classification
B : Regression
C : Clustering
D : Association
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
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
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()
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
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
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
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
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()
describe()
Data analytics mcq sppu
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