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CS614 Final Term Solved MCQs with References

Data Warehousing PDF 3.4 MBUpdated 23 Oct 2026
Final term past paper CS614 Final Term Solved MCQs with References PDF 3.4 MB
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Final term past paper
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CS614 Data Warehousing
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PDF 3.4 MB
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23 Oct 2026
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Dec 21,2015

PK

Final-Term Papers Solved MCQs CS614- Data Warehousing Including 2016 Final-Term Papers

  1. Suppose the amount of data recorded in an organization is doubled every year. This increase is
  •  Linear
  •  Quadratic
  •  Logarithmic

 Exponential

PG # 15

  1. The telecommunications data warehouse is dominated by the sheer volume of data generated at the call level area.

 Subject

PG # 35

  •  Object
  •  Aggregate
  •  Detail
  1. De-Normalization normally speeds up

 Data Retrieval

PG # 51

  •  Data Modification
  •  Development Cycle
  •  Data Replication
  1. ER Model can be simplified in -------- ways
  •  One
  • Two

PG # 103

  •  Three
  •  Four

There are actually two ways of “simplifying” the ER model i.e. (i) De-normalization and (ii) Dimensional Modeling.

  1. Non recording facts have a disadvantage that it has

 Lack of Information

PG # 120

  •  Redundant Information
  •  Repeated Information
  •  Normalized Information
  1. Fact-less fact table is a fact table without numeric fact columns. It is used to capture relationship between

 Dimensions

PG # 121

  •  Attributes
  •  Tables
  •  Facts
  1. A cube is not a data warehouse, it is a

 Data Mart

PG # 131

  •  Data Extraction
  •  Data Loading
  •  Query Manager
  1. A dense index, if fits into memory, costs only disk I/O access to locate a record by given key.
  • One

PG # 223

  •  Two
  •  lg (n)
  •  n

9. , if fits into memory, costs only one disk I/O access to locate a record by given key.

 A Dense Index

PG # 223

  •  A Sparse Index
  •  An Inverted Index

10. , if too big and doesn‟t fit into the memory will be expensive when used to find a record by given key.

 A Dense Index

PG # 223

  •  A Sparse Index
  •  An Inverted Index

11. operator is conservative in that it assigns to the dimension an aggregate value no higher than the value of its weakest data quality indicator.

 The Min

PG # 188

  •  The Simple Ratio
  •  The Weighted Average
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