McqMate
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
| 51. |
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 | |
| 52. |
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 | |
| 53. |
Which of the following is a categorical outcome? |
| A. | RMSE |
| B. | RSquared |
| C. | Accuracy |
| D. | All of the Mentioned |
| Answer» C. Accuracy | |
| 54. |
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 | |
| 55. |
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 | |
| 56. |
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 | |
| 57. |
p → 0q is not a? |
| A. | hack clause |
| B. | horn clause |
| C. | structural clause |
| D. | system clause |
| Answer» B. horn clause | |
| 58. |
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) | |
| 59. |
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 | |
| 60. |
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. | |
| 61. |
Different learning methods does not include? |
| A. | Introduction |
| B. | Analogy |
| C. | Deduction |
| D. | Memorization |
| Answer» A. Introduction | |
| 62. |
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 | |
| 63. |
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 | |
| 64. |
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 | |
| 65. |
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 | |
| 66. |
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 | |
| 67. |
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 | |
| 68. |
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 | |
| 69. |
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 | |
| 70. |
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 | |
| 71. |
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 | |
| 72. |
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 | |
| 73. |
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. | |
| 74. |
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. | |
| 75. |
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 | |
| 76. |
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 | |
| 77. |
How many main statistical methodologies are used in data analysis? |
| A. | 2 |
| B. | 3 |
| C. | 4 |
| D. | 5 |
| Answer» A. 2 | |
| 78. |
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 | |
| 79. |
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 | |
| 80. |
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 | |
| 81. |
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 | |
| 82. |
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 | |
| 83. |
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 | |
| 84. |
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 | |
| 85. |
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 | |
| 86. |
Data can be visualized using? |
| A. | graphs |
| B. | charts |
| C. | maps |
| D. | All of the above |
| Answer» D. All of the above | |
| 87. |
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 | |
| 88. |
Which method shows hierarchical data in a nested format? |
| A. | Treemaps |
| B. | Scatter plots |
| C. | Population pyramids |
| D. | Area charts |
| Answer» A. Treemaps | |
| 89. |
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() | |
| 90. |
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 | |
| 91. |
Which of the following is tool for checking normality? |
| A. | qqline() |
| B. | qline() |
| C. | anova() |
| D. | lm() |
| Answer» A. qqline() | |
| 92. |
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 | |
| 93. |
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 | |
| 94. |
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 | |
| 95. |
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 | |
| 96. |
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 | |
| 97. |
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 | |
| 98. |
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. | |
| 99. |
Which of the following is false? |
| A. | Subsetting can be used to select and exclude variables and observations |
| B. | Raw data should be processed only one time. |
| C. | Merging concerns combining datasets on the same observations to produce a result with more variables |
| D. | None Of the above |
| Answer» B. Raw data should be processed only one time. | |
| 100. |
According to analysts, for what can traditional IT systems provide a foundation when they’re integrated with big data technologies like Hadoop? |
| A. | Big data management and data mining |
| B. | Data warehousing and business intelligence |
| C. | Management of Hadoop clusters |
| D. | Collecting and storing unstructured data |
| Answer» A. Big data management and data mining | |
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