MCQ on data warehouse
51. ___________ is a method of incremental conceptual clustering.
A. CORBA.
B. OLAP.
C. COBWEB.
D. STING.
ANS:: C
52. 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.
ANS:: A
53. 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.
ANS:: C
54. Multidimensional database is otherwise known as____________.
A. RDBMS
B. DBMS
C. EXTENDED RDBMS
D. EXTENDED DBMS
ANS:: B
55. Data warehouse architecture is dada about ______________.
A. DBMS.
B. RDBMS.
C. Sybase.
D. SQL Server.
ANS:: B
56. Source data from the warehouse comes from _______________.
A. ODS.
B. TDS.
C. MDDB.
D. ORDBMS.
ANS:: A
57. ________________ is a data transformation process.
A. Comparison.
B. Projection.
C. Selection.
D. Filtering.
ANS:: D
58. The technology area associated with CRM is _______________.
A. specialization.
B. generalization.
C. personalization.
D. summarization.
ANS:: C
59. SMP stands for _______________.
A. Symmetric Multiprocessor.
B. Symmetric Multiprogramming.
C. Symmetric Metaprogramming.
D. Symmetric Microprogramming.
ANS:: A
60. __________ 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.
ANS:: C
61. __________ 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.
ANS:: C
62. MDDB stands for ___________.
A. multiple data doubling.
B. multidimensional databases.
C. multiple double dimension.
D. multi-dimension doubling.
ANS:: B
63. ______________ is data about data.
A. Metadata.
B. Microdata.
C. Minidata.
D. Multidata.
ANS:: A
64. ___________ is an important functional component of the metadata.
A. Digital directory.
B. Repository.
C. Information directory.
D. Data dictionary.
ANS:: C
65. EIS stands for ______________.
A. Extended interface system.
B. Executive interface system.
C. Executive information system.
D. Extendable information system.
ANS:: C
66. ___________ is data collected from natural systems.
A. MRI scan.
B. ODS data.
C. Statistical data.
D. Historical data.
ANS:: A
67. _______________ is an example of application development environments.
A. Visual Basic.
B. Oracle.
C. Sybase.
D. SQL Server.
ANS:: A
68. The term that is not associated with data cleaning process is ______.
A. domain consistency.
B. deduplication.
C. disambiguation.
D. segmentation.
ANS:: D
69. ____________ are some popular OLAP tools.
A. Metacube, Informix.
B. Oracle Express, Essbase.
C. HOLAP.
D. MOLAP.
ANS:: A
70. Capability of data mining is to build ___________ models.
A. retrospective.
B. interrogative.
C. predictive.
D. imperative.
ANS:: C
71. _____________ is a process of determining the preference of customer's
majority.
A. Association.
B. Preferencing.
C. Segmentation.
D. Classification.
ANS:: B
72. Strategic value of data mining is ______________.
A. cost-sensitive.
B. work-sensitive.
C. time-sensitive.
D. technical-sensitive.
ANS:: C
73. ____________ proposed the approach for data integration issues.
A. Ralph Campbell.
B. Ralph Kimball.
C. John Raphlin.
D. James Gosling.
ANS:: B
74. The terms equality and roll up are associated with ____________.
A. OLAP.
B. visualization.
C. data mart.
D. decision tree.
ANS:: C
75. Exceptional reporting in data warehousing is otherwise called as
__________.
A. exception.
B. alerts.
C. errors.
D. bugs.
ANS:: B
76. ____________ is a metadata repository.
A. Prism solution directory manager.
B. CORBA.
C. STUNT.
D. COBWEB.
ANS:: A
77. ________________ is an expensive process in building an expert system.
A. Analysis.
B. Study.
C. Design.
D. Information collection.
ANS:: D
78. The full form of KDD is _________.
A. Knowledge database.
B. Knowledge discovery in database.
C. Knowledge data house.
D. Knowledge data definition.
ANS:: B
79. The first International conference on KDD was held in the year
_____________.
A. 1996.
B. 1997.
C. 1995.
D. 1994.
ANS:: C
80. Removing duplicate records is a process called _____________.
A. recovery.
B. data cleaning.
C. data cleansing.
D. data pruning.
ANS:: B
81. ____________ 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.
ANS:: A
82. _______________ helps to integrate, maintain and view the contents of the
data warehousing system.
A. Business directory.
B. Information directory.
C. Data dictionary.
D. Database.
ANS:: B
83. Discovery of cross-sales opportunities is called ________________.
A. segmentation.
B. visualization.
C. correction.
D. association.
ANS:: D
84. 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.
ANS:: B
85. ____________ 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.
ANS:: D
86. The power of self-learning system lies in __________.
A. cost.
B. speed.
C. accuracy.
D. simplicity.
ANS:: C
87. 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.
ANS:: A
88. How many components are there in a data warehouse?
A. two.
B. three.
C. four.
D. five.
ANS:: D
89. 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.
ANS:: D
90. ________ 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.
ANS:: B
91. Highly summarized data is _______.
A. compact and easily accessible.
B. compact and expensive.
C. compact and hardly accessible.
D. compact.
ANS:: A
92. 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.
ANS:: C
93. 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.
ANS:: D
94. Which of the following is not a old detail storage medium?
A. Phot Optical Storage.
B. RAID.
C. Microfinche.
D. Pen drive.
ANS:: D
95. 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.
ANS:: A
96. The data in current detail level resides till ________ event occurs.
A. purge.
B. summarization.
C. archieved.
D. all of the above.
ANS:: D
97. The dimension tables describe the _________.
A. entities.
B. facts.
C. keys.
D. units of measures.
ANS:: B
98. The granularity of the fact is the _____ of detail at which it is recorded.
A. transformation.
B. summarization.
C. level.
D. transformation and summarization.
ANS:: C
99. 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.
ANS:: B
100. 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.
ANS:: C
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