Data Mining and Data Warehouse MCQs with answers Page - 7

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Admin • 828.03K Points
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Q. ______________ is data about data.

  • (A) metadata.
  • (B) microdata.
  • (C) minidata.
  • (D) multidata.

A

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Q. ___________ is an important functional component of the metadata.

  • (A) digital directory.
  • (B) repository.
  • (C) information directory.
  • (D) data dictionary.

A

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Q. EIS stands for ______________.

  • (A) extended interface system.
  • (B) executive interface system.
  • (C) executive information system.
  • (D) extendable information system.

A

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Q. ___________ is data collected from natural systems.

  • (A) mri scan.
  • (B) ods data.
  • (C) statistical data.
  • (D) historical data.

A

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Q. _______________ is an example of application development environments.

  • (A) visual basic.
  • (B) oracle.
  • (C) sybase.
  • (D) sql server.

A

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Q. The term that is not associated with data cleaning process is ______.

  • (A) domain consistency.
  • (B) deduplication.
  • (C) disambiguation.
  • (D) segmentation.

A

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Q. ____________ are some popular OLAP tools.

  • (A) metacube, informix.
  • (B) oracle express, essbase.
  • (C) holap.
  • (D) molap.

A

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Q. Capability of data mining is to build ___________ models.

  • (A) retrospective.
  • (B) interrogative.
  • (C) predictive.
  • (D) imperative.

A

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Q. Strategic value of data mining is ______________.

  • (A) cost-sensitive.
  • (B) work-sensitive.
  • (C) time-sensitive.
  • (D) technical-sensitive.

A

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Q. ____________ proposed the approach for data integration issues.

  • (A) ralph campbell.
  • (B) ralph kimball.
  • (C) john raphlin.
  • (D) james gosling.

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