DBMS-Data Warehousing and Data Mining

DBMS-Data Warehousing and Data Mining
31. Data mart is a data store which is
  • a specialised and subject-oriented.
  • integrated and time-variant.
  • volatile data store.
  • All of these
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32. A data mart may contain
  • summarised data.
  • de-normalised data.
  • aggregated departmental data.
  • All of these.
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33. Online analytical processing (OLAP) is an advanced data analysis environment that supports
  • decision making
  • business modelling.
  • operations research activities.
  • All of these
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34. OLAP is
  • a dynamic synthesis of multidimentional data.
  • a analysis of multidimentional data.
  • a consolidation of large volumes of multi-dimensional data.
  • All of these
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35. Data mining is
  • the process of extracting valid, previously unknown comprehensible and actionable information from large databases and using it to make crucial business decisions.
  • a tool that allows end-users direct access and manipulation of data from within data-warehousing environment without the intervention of customised programming activity.
  • a tool that helps end users extract useful business information from large databases.
  • All of these.
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36. The expanded from of KDD is
  • Knowledge Discovery in Database
  • Knowledge of decision making in Databases.
  • Knowledge-based Decision Data.
  • Karnough Decision Database
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