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
2. ———- plot displays information as series of data points connected by straight lines.
A : Bar
B : Line
C : Scatter
D : Histogram
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
4. The ——– function creates a 2-D array with all values 1.
A : numpy. Ones()
B : numpy.zeros()
C : numpy.eye()
D : numpy.empty()
5. —————- method is dataframe reads first n rows from dataframe
A : head(n)
B : tail(n)
C : first(n)
D : start(n)
6. Numpy support this function to find trigonometric sine elementwise .
A : numpy.sin()
B : numpy.cosine()
C : numpy.tangent()
D : numpy.rad2sin(x1)
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
Advertisement
8. Which library from python is used for implementing machine learning algorithms?
A : Scikit-Learn
B : Pandas
C : Matplotlib
D : Numpy
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
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
12. Which of the following is NOT supervised learning
A : PCA
B : Decision Tree
C : Linear Regression
D : Naive Bayesian
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
Advertisement
14. ———— rule mining is a technique to identify underlying relations between different items.
A : Classification
B : Regression
C : Clustering
D : Association
15. ————-type of analytics descibes what happened in past
A : Descriptive
B : Prescriptive
C : Predictive
D : Probability
16. —————– analysis estimates the relationship between single dependent variable and single independent variable
A : Simple Regression
B : Multiple regression
C : Correlation
D : Probability
Advertisement
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
18. -From matplotlib—————— module is used for plotting various plots.
A : Scilearn
B : Pyplot
C : Scilab
D : Matlab
19. A perfect negative correlation is signified by ————-
A : 1
B : -1
C : 0
D : 2
20. In matplotlib library ————- module supports basic image loading, rescaling and display operations
A : picture
B : image
C : pyplot
D : sympy
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()
Advertisement
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
23. ——– is most important language for Data Science.
A : Java
B : Ruby
C : R
D : None of these
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
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
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
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
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
29. JSON file data is an example of ———-
A : Structured data
B : Un-Structured data
C : Semi-Structured data
D : Scattered
Advertisement
30. In regression the independent variable is also called as ———–
A : Regressor
B : Continuous
C : Regressand
D : Estimated
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)
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
33. To determine basic salary of a employee when his qualification is given is a ———– problem
A : Correlation
B : Regression
C : Association
D : 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()
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
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
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
38.In matplotlib ————– is container class for figure instance.
A : Axes
B : Canvas
C : Figure
D : FigureCanvas
39. Plot_number parameter from subplot() function can range from 1 to —–
A : nrows*ncols
B : max
C : nrows
D : ncols
40.In unsupervised learning, scikit learn uses ——————- method to infer properties of the data..
A : extract()
B : transform()
C : infer()
D : classify()
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()
Data analytics mcq sppu
data analytics mcq sppu, big data analytics mcq pdf, data analytics mcq with answers, big data analytics mcq with answers, data analytics mcq with answers pdf, data analytics sppu mcq, data analytics mcq questions, big data analytics mcq,
Statement, Indentation and Comment in Python
1 thought on “Most Important Data Analytics Mcq With Answer”