Data Mining MCQ Questions Answers

1. Data mining is the ____

2. Data mining is more ________ than olap.

3. Data mining applications are used to accomplish all of the following tasks except ________.

4. Suppose that the company's marketing department collects data from customers. Make customer groups to ensure that the most appropriate group to target the different offers. Choose the appropriate data mining task for this business problem.

5. The silhouette coefficient can be used to determine the natural number of clusters for ________.

6. What is Hive

7. What is the purpose of the Hadoop Distributed File System (HDFS)?

8. Data mining provides a link between:

9. Where can a website operator generally find data on her customers' IP addresses?

10. Which of the following is not valid JSON?

11. How do you measure interestingness in association patterns?

12. A descriptive approach to exploring data that can help identify relationships among values in a database is:

13. Which of the following is not an appropriate tool for harvesting data from a website that accesses its database through Javascript/AJAX calls?

14. The two major functions of BI servers are:

15. What is the advantage of the k-Medoids Clustering Algorithm over the k-Means Clustering (Lloyd's) Algorithm?

16. Which decision tree method performs multi-level splits when computing classification trees?

17. Which of the following is part of a retail customer data mining strategy?

18. Hash based technique, Transaction Reduction, Portioning, Sampling, and Dynamic Item Counting are all examples of what?

19. The measured differences between a model and its predictions are known as:

20. True or False? Artificial neural networks are linear predictive models.

21. Which of these is a possible architecture of a data mining system?

22. Which of the following is not a primary phase of a Hadoop Reducer?

23. Which of the following method can be used for modeling a categorical target variable?

24. In any numerical data set with a meaningful mean value, what is the minimum fraction of data that will fall within n standard deviations of the mean?

25. Which of the following applications are usually used to classify students' performances?

26. Which of these is not a step in the KDD process?

27. The authentication protocol used by many significant web APIs is called:

28. Apriori is a seminal algorithm for finding frequent item sets using:

29. The level of the model that specifies the strengths of the dependencies using some numerical scale.

30. What is CURL?

31. What is the first step in the business understanding phase?

32. If more than one value occurs the same number of times, the data is:

33. The component of the Hadoop Distributed Filesystem responsible for storing metadata is called the

34. Which of the following properties is a constraint on a RESTful application?

35. Which of the following algorithms produces decision trees?

36. Which xpath selector expression captures all link elements of the form 'http://example.com/profile/12345' in an html page while excluding all links of the form 'http://example.com/casenumber/12345?

37. Taking multiple random samples of data and building a classification model for each is known as:

38. What is Pig

39. A commonly used continuous alternative to the step function in multi-layered neural network output is the

40. "In 2% of the purchases at the hardware store, both a pick and a shovel were bought,” is an example of:

41. What is Summarization?

42. Which of the following is NOT a method of combining multiple models into an ensemble model?

43. Which of the following properties applies to Single-Layer Perceptrons?

44. Converted information to provide insights about historical patterns and future trends is known as:

45. Which of the followng clustering algorithms can optimize an ojbective function?

46. In which type of analysis is a Kohonen feature map typically employed?

47. A DBMS reduces data redundancy and inconsistency by

48. What is Clustering?

49. In Natural Language Processing, what is the role of a lexical analyzer?

50. In the MapReduce model, Map and Reduce functions act directly on which kind of data structure?

51. What is Interestingness?

52. What is a genetic algorithm?

53. Which of the following is not a common goal of the KDD Process:

54. Which of the following is most appropriate for finding the shortest chain of friends linking two people in a social graph who are not friends with each other?

55. True or False? The MARS algorithm cannot produce rules.

56. Which of the following is NOT a function of data warehouses?

57. What is Classification?

58. What is the extraction of useful if-then rules from data based on statistical significance?

59. A technique that classifies each record in a dataset based on a combination of the classes of the k record(s) most similar to it in a historical dataset is:

60. Which of the following is NOT a common source system?

61. Support Vector Machines have an advantage over Neural Networks because SVM's are

62. Which of these are evolutionary computational methods?

63. Generalization error is a consequence of

64. In order to estimate classification performance on an entire population, you need _______

65. Which of the following storage solutions is most appropriate for a semi-structured dataset whose members do not all have the same attributes?

66. Which of the following algorithms is generally suitable for unsupervised learning tasks?

67. What is the type of data mining that drives the Amazon.com recommendation system?

68. What is Change and Deviation Detection?

69. Sharding refers to:

70. Which of these is NOT a common descriptions of layers?

71. What is Dependency Modeling?

72. What is Regression?

73. In the analysis of time-series data, the mean value over a given time period (usually some interval in the past up to the present) is called a(n)

74. In the association between two variables, what is the difference between the antecedent and the consequent?

75. The algorithm powering the Google search engine is:

76. To increase the confidence of your state of classification performance on the entire population, you should:

77. The level of the model that specifies (often graphically) which variables are locally dependent on each other.

78. Which data mining technique organizes sets of data into predefined groups?

79. Which of these are NOT considered internal data factors?

80. Data not collected by the organization, such as data from a proprietary database, that is combined with the organization’s own data is known as:

81. A hyperplane is a

82. What is the front end layer of data mining architecture?

83. The annual revenue of an international company is correlated with other attributes like advertisement, exchange rate, inflation rate etc. Having these values (or their reliable estimations for the next year) the company have to calculate its expected revenue for the next year. Choose the appropriate data mining task for this business problem.

84. Which of these is an example of a sequential pattern relationship?

85. What is the measure of how much two random variables change together?

86. True or False? Tests in CART are always Binary.

87. A function used by a node in a neural net to transform input data from any domain of values into a finite range of values is known as a(n):

88. What is CRISP-DM?

89. True of False? Loose coupling data mining architecture is mainly for memory-based data mining systems that does not require high scalability and high performance.

90. Which are popular data mining methods?

91. What are decision trees?

92. Data items grouped into relationships and preferences are known as:

93. You are a credit risk manager of a retail bank. Some information about customers are available to analytics. Based on this data you have to decide that a person will be a good or bad customer. Choose the appropriate data mining task for this business problems.

94. In predictive models, the values or classes to be predicted are called the:

95. Which of the following disciplines overlaps Data Mining?

96. True or False? Economic indicators are external data factors.

97. Which of these are NOT types of analytical software:

98. What is a KDD Process?

99. What is data visualization?

100. Which of the following is not a relational database?