Data Mining and Business Intelligence MCQs with answers Page - 8

Here, you will find a collection of MCQ questions on Data Mining and Business Intelligence. Go through these questions to enhance your preparation for upcoming examinations and interviews.

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A

Admin • 833.24K Points
Coach

Q. Strategic value of data mining is_______.

  • (A) Cost-sensitive
  • (B) Work-sensitive
  • (C) Time-sensitive
  • (D) Technical-sensitive

A

Admin • 833.24K Points
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Q. ___________proposed the approach for data integration issues.

  • (A) Ralph Campbell
  • (B) Ralph Kimball
  • (C) John Raphlin
  • (D) James Gosling

A

Admin • 833.24K Points
Coach

Q. The terms equality and roll up are associated with__________.

  • (A) OLAP
  • (B) Visualization
  • (C) Data mart
  • (D) Decision tree

A

Admin • 833.24K Points
Coach

Q. Exceptional reporting in data warehousing is otherwise called as__________.

  • (A) Exception
  • (B) Alerts
  • (C) Errors
  • (D) Bugs

A

Admin • 833.24K Points
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Q. _________is a metadata repository.

  • (A) Prism solution directory manager
  • (B) CORBA
  • (C) STUNT
  • (D) COBWEB

A

Admin • 833.24K Points
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Q. _________is an expensive process in building an expert system.

  • (A) Analysis
  • (B) Study
  • (C) Design
  • (D) Information collection

A

Admin • 833.24K Points
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Q. The full form of KDD is__________.

  • (A) Knowledge database
  • (B) Knowledge discovery in database
  • (C) Knowledge data house
  • (D) Knowledge data definition

A

Admin • 833.24K Points
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Q. The first International conference on KDD was held in the year_________.

  • (A) 1996
  • (B) 1997
  • (C) 1995
  • (D) 1994

A

Admin • 833.24K Points
Coach

Q. Removing duplicate records is a process called____________.

  • (A) Recovery
  • (B) Data cleaning
  • (C) Data cleansing
  • (D) Data pruning

A

Admin • 833.24K Points
Coach

Q. __________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

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