McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Computer Science Engineering (CSE) , Common Topics in Competitive and Entrance exams .
| 51. |
Effect of one attribute value on a given class is independent of values of other attribute is called _________. |
| A. | value independence. |
| B. | class conditional independence. |
| C. | conditional independence. |
| D. | unconditional independence. |
| Answer» A. value independence. | |
| 52. |
The main organizational justification for implementing a data warehouse is to provide ______. |
| A. | cheaper ways of handling transportation. |
| B. | decision support. |
| C. | storing large volume of data. |
| D. | access to data. |
| Answer» C. storing large volume of data. | |
| 53. |
Multidimensional database is otherwise known as____________. |
| A. | rdbms |
| B. | dbms |
| C. | extended rdbms |
| D. | extended dbms |
| Answer» B. dbms | |
| 54. |
Data warehouse architecture is based on ______________. |
| A. | dbms. |
| B. | rdbms. |
| C. | sybase. |
| D. | sql server. |
| Answer» B. rdbms. | |
| 55. |
Source data from the warehouse comes from _______________. |
| A. | ods. |
| B. | tds. |
| C. | mddb. |
| D. | ordbms. |
| Answer» A. ods. | |
| 56. |
________________ is a data transformation process. |
| A. | comparison. |
| B. | projection. |
| C. | selection. |
| D. | filtering. |
| Answer» D. filtering. | |
| 57. |
The technology area associated with CRM is _______________. |
| A. | specialization. |
| B. | generalization. |
| C. | personalization. |
| D. | summarization. |
| Answer» C. personalization. | |
| 58. |
SMP stands for _______________. |
| A. | symmetric multiprocessor. |
| B. | symmetric multiprogramming. |
| C. | symmetric metaprogramming. |
| D. | symmetric microprogramming. |
| Answer» A. symmetric multiprocessor. | |
| 59. |
__________ are designed to overcome any limitations placed on the warehouse by the nature of the relational data model. |
| A. | operational database. |
| B. | relational database. |
| C. | multidimensional database. |
| D. | data repository. |
| Answer» C. multidimensional database. | |
| 60. |
MDDB stands for ___________. |
| A. | multiple data doubling. |
| B. | multidimensional databases. |
| C. | multiple double dimension. |
| D. | multi-dimension doubling. |
| Answer» B. multidimensional databases. | |
| 61. |
______________ is data about data. |
| A. | metadata. |
| B. | microdata. |
| C. | minidata. |
| D. | multidata. |
| Answer» A. metadata. | |
| 62. |
___________ is an important functional component of the metadata. |
| A. | digital directory. |
| B. | repository. |
| C. | information directory. |
| D. | data dictionary. |
| Answer» C. information directory. | |
| 63. |
EIS stands for ______________. |
| A. | extended interface system. |
| B. | executive interface system. |
| C. | executive information system. |
| D. | extendable information system. |
| Answer» C. executive information system. | |
| 64. |
___________ is data collected from natural systems. |
| A. | mri scan. |
| B. | ods data. |
| C. | statistical data. |
| D. | historical data. |
| Answer» A. mri scan. | |
| 65. |
_______________ is an example of application development environments. |
| A. | visual basic. |
| B. | oracle. |
| C. | sybase. |
| D. | sql server. |
| Answer» A. visual basic. | |
| 66. |
The term that is not associated with data cleaning process is ______. |
| A. | domain consistency. |
| B. | deduplication. |
| C. | disambiguation. |
| D. | segmentation. |
| Answer» D. segmentation. | |
| 67. |
____________ are some popular OLAP tools. |
| A. | metacube, informix. |
| B. | oracle express, essbase. |
| C. | holap. |
| D. | molap. |
| Answer» A. metacube, informix. | |
| 68. |
Capability of data mining is to build ___________ models. |
| A. | retrospective. |
| B. | interrogative. |
| C. | predictive. |
| D. | imperative. |
| Answer» C. predictive. | |
| 69. |
_____________ is a process of determining the preference of customer's majority. |
| A. | association. |
| B. | preferencing. |
| C. | segmentation. |
| D. | classification. |
| Answer» B. preferencing. | |
| 70. |
Strategic value of data mining is ______________. |
| A. | cost-sensitive. |
| B. | work-sensitive. |
| C. | time-sensitive. |
| D. | technical-sensitive. |
| Answer» C. time-sensitive. | |
| 71. |
____________ proposed the approach for data integration issues. |
| A. | ralph campbell. |
| B. | ralph kimball. |
| C. | john raphlin. |
| D. | james gosling. |
| Answer» B. ralph kimball. | |
| 72. |
The terms equality and roll up are associated with ____________. |
| A. | olap. |
| B. | visualization. |
| C. | data mart. |
| D. | decision tree. |
| Answer» C. data mart. | |
| 73. |
Exceptional reporting in data warehousing is otherwise called as __________. |
| A. | exception. |
| B. | alerts. |
| C. | errors. |
| D. | bugs. |
| Answer» B. alerts. | |
| 74. |
____________ is a metadata repository. |
| A. | prism solution directory manager. |
| B. | corba. |
| C. | stunt. |
| D. | cobweb. |
| Answer» A. prism solution directory manager. | |
| 75. |
________________ is an expensive process in building an expert system. |
| A. | analysis. |
| B. | study. |
| C. | design. |
| D. | information collection. |
| Answer» D. information collection. | |
| 76. |
The full form of KDD is _________. |
| A. | knowledge database. |
| B. | knowledge discovery in database. |
| C. | knowledge data house. |
| D. | knowledge data definition. |
| Answer» B. knowledge discovery in database. | |
| 77. |
The first International conference on KDD was held in the year _____________. |
| A. | 1996. |
| B. | 1997. |
| C. | 1995. |
| D. | 1994. |
| Answer» C. 1995. | |
| 78. |
Removing duplicate records is a process called _____________. |
| A. | recovery. |
| B. | data cleaning. |
| C. | data cleansing. |
| D. | data pruning. |
| Answer» B. data cleaning. | |
| 79. |
____________ contains information that gives users an easy-to-understand perspective of the information stored in the data warehouse. |
| A. | business metadata. |
| B. | technical metadata. |
| C. | operational metadata. |
| D. | financial metadata. |
| Answer» A. business metadata. | |
| 80. |
_______________ helps to integrate, maintain and view the contents of the data warehousing system. |
| A. | business directory. |
| B. | information directory. |
| C. | data dictionary. |
| D. | database. |
| Answer» B. information directory. | |
| 81. |
Discovery of cross-sales opportunities is called ________________. |
| A. | segmentation. |
| B. | visualization. |
| C. | correction. |
| D. | association. |
| Answer» D. association. | |
| 82. |
Data marts that incorporate data mining tools to extract sets of data are called ______. |
| A. | independent data mart. |
| B. | dependent data marts. |
| C. | intra-entry data mart. |
| D. | inter-entry data mart. |
| Answer» B. dependent data marts. | |
| 83. |
____________ can generate programs itself, enabling it to carry out new tasks. |
| A. | automated system. |
| B. | decision making system. |
| C. | self-learning system. |
| D. | productivity system. |
| Answer» D. productivity system. | |
| 84. |
The power of self-learning system lies in __________. |
| A. | cost. |
| B. | speed. |
| C. | accuracy. |
| D. | simplicity. |
| Answer» C. accuracy. | |
| 85. |
Building the informational database is done with the help of _______. |
| A. | transformation or propagation tools. |
| B. | transformation tools only. |
| C. | propagation tools only. |
| D. | extraction tools. |
| Answer» A. transformation or propagation tools. | |
| 86. |
How many components are there in a data warehouse? |
| A. | two. |
| B. | three. |
| C. | four. |
| D. | five. |
| Answer» D. five. | |
| 87. |
Which of the following is not a component of a data warehouse? |
| A. | metadata. |
| B. | current detail data. |
| C. | lightly summarized data. |
| D. | component key. |
| Answer» D. component key. | |
| 88. |
________ is data that is distilled from the low level of detail found at the current detailed leve. |
| A. | highly summarized data. |
| B. | lightly summarized data. |
| C. | metadata. |
| D. | older detail data. |
| Answer» B. lightly summarized data. | |
| 89. |
Highly summarized data is _______. |
| A. | compact and easily accessible. |
| B. | compact and expensive. |
| C. | compact and hardly accessible. |
| D. | compact. |
| Answer» A. compact and easily accessible. | |
| 90. |
A directory to help the DSS analyst locate the contents of the data warehouse is seen in ______. |
| A. | current detail data. |
| B. | lightly summarized data. |
| C. | metadata. |
| D. | older detail data. |
| Answer» C. metadata. | |
| 91. |
Metadata contains atleast _________. |
| A. | the structure of the data. |
| B. | the algorithms used for summarization. |
| C. | the mapping from the operational environment to the data warehouse. |
| D. | all of the above. |
| Answer» D. all of the above. | |
| 92. |
Which of the following is not a old detail storage medium? |
| A. | phot optical storage. |
| B. | raid. |
| C. | microfinche. |
| D. | pen drive. |
| Answer» D. pen drive. | |
| 93. |
The data from the operational environment enter _______ of data warehouse. |
| A. | current detail data. |
| B. | older detail data. |
| C. | lightly summarized data. |
| D. | highly summarized data. |
| Answer» A. current detail data. | |
| 94. |
The data in current detail level resides till ________ event occurs. |
| A. | purge. |
| B. | summarization. |
| C. | archieved. |
| D. | all of the above. |
| Answer» D. all of the above. | |
| 95. |
The dimension tables describe the _________. |
| A. | entities. |
| B. | facts. |
| C. | keys. |
| D. | units of measures. |
| Answer» B. facts. | |
| 96. |
The granularity of the fact is the _____ of detail at which it is recorded. |
| A. | transformation. |
| B. | summarization. |
| C. | level. |
| D. | transformation and summarization. |
| Answer» C. level. | |
| 97. |
Which of the following is not a primary grain in analytical modeling? |
| A. | transaction. |
| B. | periodic snapshot. |
| C. | accumulating snapshot. |
| D. | all of the above. |
| Answer» B. periodic snapshot. | |
| 98. |
Granularity is determined by ______. |
| A. | number of parts to a key. |
| B. | granularity of those parts. |
| C. | both a and b. |
| D. | none of the above. |
| Answer» C. both a and b. | |
| 99. |
___________ of data means that the attributes within a given entity are fully dependent on the entire primary key of the entity. |
| A. | additivity. |
| B. | granularity. |
| C. | functional dependency. |
| D. | dimensionality. |
| Answer» C. functional dependency. | |
| 100. |
A fact is said to be fully additive if ___________. |
| A. | it is additive over every dimension of its dimensionality. |
| B. | additive over atleast one but not all of the dimensions. |
| C. | not additive over any dimension. |
| D. | none of the above. |
| Answer» A. it is additive over every dimension of its dimensionality. | |
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