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Chapter:

40+ Introduction to Data Science Solved MCQs

in Bigdata

These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Bachelor of Business Administration in Computer Applications (BBA [CA]) .

Chapters

Chapter: Introduction to Data Science
1.

Which of the following can be used to create sub–samples using a maximum dissimilarity approach?

A. minDissim
B. maxDissim
C. inmaxDissim
D. All of the Mentioned
Answer» B. maxDissim
2.

Which of the following can be used to impute data sets based only on information in the training set?

A. postprocess
B. preProcess
C. process
D. All of the Mentioned
Answer» B. preProcess
3.

Which of the following model model include a backwards elimination feature selection routine?

A. MCV
B. MARS
C. MCRS
D. All of the Mentioned
Answer» B. MARS
4.

Which of the following is a categorical outcome?

A. RMSE
B. RSquared
C. Accuracy
D. All of the Mentioned
Answer» C. Accuracy
5.

Which of the following function provides unsupervised prediction ?

A. cl_forecast
B. cl_nowcast
C. cl_precast
D. None of the Mentioned
Answer» D. None of the Mentioned
6.

What is true about Machine Learning?

A. Machine Learning (ML) is that field of computer science
B. ML is a type of artificial intelligence that extract patterns out of raw data by using an algorithm or method.
C. The main focus of ML is to allow computer systems learn from experience without being explicitly programmed or human intervention.
D. All of the above
Answer» D. All of the above
7.

ML is a field of AI consisting of learning algorithms that?

A. Improve their performance
B. At executing some task
C. Over time with experience
D. All of the above
Answer» D. All of the above
8.

p → 0q is not a?

A. hack clause
B. horn clause
C. structural clause
D. system clause
Answer» B. horn clause
9.

The action _______ of a robot arm specify to Place block A on block B.

A. STACK(A,B)
B. LIST(A,B)
C. QUEUE(A,B)
D. ARRAY(A,B)
Answer» A. STACK(A,B)
10.

A__________ begins by hypothesizing a sentence (the symbol S) and successively predicting lower level constituents until individual preterminal symbols are written.

A. bottow-up parser
B. top parser
C. top-down parser
D. bottom parser
Answer» C. top-down parser
11.

A model of language consists of the categories which does not include ________.

A. System Unit
B. structural units.
C. data units
D. empirical units
Answer» B. structural units.
12.

Different learning methods does not include?

A. Introduction
B. Analogy
C. Deduction
D. Memorization
Answer» A. Introduction
13.

The model will be trained with data in one single batch is known as ?

A. Batch learning
B. Offline learning
C. Both A and B
D. None of the above
Answer» C. Both A and B
14.

Which of the following are ML methods?

A. based on human supervision
B. supervised Learning
C. semi-reinforcement Learning
D. All of the above
Answer» A. based on human supervision
15.

In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ?

A. mini-batches
B. optimizedparameters
C. hyperparameters
D. superparameters
Answer» C. hyperparameters
16.

Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?

A. Decision Tree
B. Regression
C. Classification
D. Random Forest
Answer» D. Random Forest
17.

To find the minimum or the maximum of a function, we set the gradient to zero because:

A. The value of the gradient at extrema of a function is always zero
B. Depends on the type of problem
C. Both A and B
D. None of the above
Answer» A. The value of the gradient at extrema of a function is always zero
18.

Which of the following is a disadvantage of decision trees?

A. Factor analysis
B. Decision trees are robust to outliers
C. Decision trees are prone to be overfit
D. None of the above
Answer» C. Decision trees are prone to be overfit
19.

How do you handle missing or corrupted data in a dataset?

A. Drop missing rows or columns
B. Replace missing values with mean/median/mode
C. Assign a unique category to missing values
D. All of the above
Answer» D. All of the above
20.

When performing regression or classification, which of the following is the correct way to preprocess the data?

A. Normalize the data -> PCA -> training
B. PCA -> normalize PCA output -> training
C. Normalize the data -> PCA -> normalize PCA output -> training
D. None of the above
Answer» A. Normalize the data -> PCA -> training
21.

Which of the following statements about regularization is not correct?

A. Using too large a value of lambda can cause your hypothesis to underfit the data.
B. Using too large a value of lambda can cause your hypothesis to overfit the data
C. Using a very large value of lambda cannot hurt the performance of your hypothesis.
D. None of the above
Answer» D. None of the above
22.

Which of the following techniques can not be used for normalization in text mining?

A. Stemming
B. Lemmatization
C. Stop Word Removal
D. None of the above
Answer» C. Stop Word Removal
23.

In which of the following cases will K-means clustering fail to give good results? 1) Data points with outliers 2) Data points with different densities 3) Data points with nonconvex shapes

A. 1 and 2
B. 2 and 3
C. 1 and 3
D. All of the above
Answer» D. All of the above
24.

Which of the following is a reasonable way to select the number of principal components "k"?

A. Choose k to be the smallest value so that at least 99% of the varinace is retained.
B. Choose k to be 99% of m (k = 0.99*m, rounded to the nearest integer).
C. Choose k to be the largest value so that 99% of the variance is retained.
D. Use the elbow method.
Answer» A. Choose k to be the smallest value so that at least 99% of the varinace is retained.
25.

What is a sentence parser typically used for?

A. It is used to parse sentences to check if they are utf-8 compliant.
B. It is used to parse sentences to derive their most likely syntax tree structures.
C. It is used to parse sentences to assign POS tags to all tokens.
D. It is used to check if sentences can be parsed into meaningful tokens.
Answer» B. It is used to parse sentences to derive their most likely syntax tree structures.
26.

Data Analysis is a process of?

A. inspecting data
B. cleaning data
C. transforming data
D. All of the above
Answer» D. All of the above
27.

Which of the following is not a major data analysis approaches?

A. Data Mining
B. Predictive Intelligence
C. Business Intelligence
D. Text Analytics
Answer» B. Predictive Intelligence
28.

How many main statistical methodologies are used in data analysis?

A. 2
B. 3
C. 4
D. 5
Answer» A. 2
29.

In descriptive statistics, data from the entire population or a sample is summarized with ?

A. integer descriptors
B. floating descriptors
C. numerical descriptors
D. decimal descriptors
Answer» C. numerical descriptors
30.

Data Analysis is defined by the statistician?

A. William S.
B. Hans Peter Luhn
C. Gregory Piatetsky-Shapiro
D. John Tukey
Answer» D. John Tukey
31.

Which of the following is true about hypothesis testing?

A. answering yes/no questions about the data
B. estimating numerical characteristics of the data
C. describing associations within the data
D. modeling relationships within the data
Answer» A. answering yes/no questions about the data
32.

The goal of business intelligence is to allow easy interpretation of large volumes of data to identify new opportunities.

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
Answer» A. TRUE
33.

The branch of statistics which deals with development of particular statistical methods is classified as

A. industry statistics
B. economic statistics
C. applied statistics
D. applied statistics
Answer» D. applied statistics
34.

Which of the following is true about regression analysis?

A. answering yes/no questions about the data
B. estimating numerical characteristics of the data
C. modeling relationships within the data
D. describing associations within the data
Answer» C. modeling relationships within the data
35.

Text Analytics, also referred to as Text Mining?

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
Answer» A. TRUE
36.

What is true about Data Visualization?

A. Data Visualization is used to communicate information clearly and efficiently to users by the usage of information graphics such as tables and charts.
B. Data Visualization helps users in analyzing a large amount of data in a simpler way.
C. Data Visualization makes complex data more accessible, understandable, and usable.
D. All of the above
Answer» D. All of the above
37.

Data can be visualized using?

A. graphs
B. charts
C. maps
D. All of the above
Answer» D. All of the above
38.

Data visualization is also an element of the broader _____________.

A. deliver presentation architecture
B. data presentation architecture
C. dataset presentation architecture
D. data process architecture
Answer» B. data presentation architecture
39.

Which method shows hierarchical data in a nested format?

A. Treemaps
B. Scatter plots
C. Population pyramids
D. Area charts
Answer» A. Treemaps
40.

Which is used to inference for 1 proportion using normal approx?

A. fisher.test()
B. chisq.test()
C. Lm.test()
D. prop.test()
Answer» D. prop.test()
41.

Which is used to find the factor congruence coefficients?

A. factor.mosaicplot
B. factor.xyplot
C. factor.congruence
D. factor.cumsum
Answer» C. factor.congruence
42.

Which of the following is tool for checking normality?

A. qqline()
B. qline()
C. anova()
D. lm()
Answer» A. qqline()
43.

Which of the following is false?

A. data visualization include the ability to absorb information quickly
B. Data visualization is another form of visual art
C. Data visualization decrease the insights and take solwer decisions
D. None Of the above
Answer» C. Data visualization decrease the insights and take solwer decisions
44.

Common use cases for data visualization include?

A. Politics
B. Sales and marketing
C. Healthcare
D. All of the above
Answer» D. All of the above
45.

Which of the following plots are often used for checking randomness in time series?

A. Autocausation
B. Autorank
C. Autocorrelation
D. None of the above
Answer» C. Autocorrelation

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