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CS614 Data Warehousing Solved MCQs from Quiz # 2 b

CS614 Data Warehousing Solved MCQs from Quiz # 2
Solved and shared by Gulshan

Data mining uses _________ algorithms to discover patterns and regularities in data.
Select correct option:
Mathematical
Computational
Statistical
None of these

If every key in the data file is represented in the index file then index is
Select correct option:
Dense Index
Sparse Index
Inverted Index
None of these

There are many variants of the traditional nested-loop join. If the index is built as part of the query plan and subsequently dropped, it is called
Naive nested-loop join
Index nested-loop join
Temporary index nested-loop join
None of these

Data mining evolve as a mechanism to cater the limitations of ________ systems to deal massive data sets with high dimensionality, new data types, multiple heterogeneous data resources etc.
OLTP
OLAP
DSS
DWH

A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
One
Two
Linear
Quadratic
________ is the technique in which existing heterogeneous segments are reshuffled, relocated into homogeneous segments.
Select correct option:
Clustering
Aggregation
Segmentation
Partitioning

The goal of ideal parallel execution is to completely parallelize those parts of a computation that are not constrained by data dependencies. The ______ the portion of the program that must be executed sequentially, the greater the scalability of the computation
Larger
Smaller
Unambiguous
Superior
_______________, if fits into memory, costs only one disk I/O access to locate a record by given key.
An Inverted Index
A Sparse Index
A Dense Index
None of these

If every key in the data file is represented in the index file then index is
Dense Index
Sparse Index
Inverted Index
None of these
A dense index, if fits into memory, costs only ______ disk I/O access to locate a record by given key.
One
Two
Linear
Quadratic
Data mining uses _________ algorithms to discover patterns and regularities in data.
Mathematical
Computational
Statistical
None of these

_______________, if too big and does not fit into memory, will be expensive when used to find a record by given key.
An Inverted Index
A Sparse Index
A Dense Index
None of these

There are many variants of the traditional nested-loop join. If the index is built as part of the query plan and subsequently dropped, it is called
Naive nested-loop join
Index nested-loop join
Temporary index nested-loop join
None of these

The goal of ideal parallel execution is to completely parallelize those parts of a computation that are not constrained by data dependencies. The smaller the portion of the program that must be executed __________, the greater the scalability of the computation.
In Parallel
Distributed
Sequentially
None of these

Data mining is a/an __________ approach, where browsing through data using data mining techniques may reveal something that might be of interest to the user as information that was unknown previously.
Non-Exploratory
Exploratory
Compute Science
none of these

To identify the __________________ required we need to perform data profiling
Degree of Transformation
Complexity
Cost
Time

Execution can be completed successfully or it may be stopped due to some error. If some error occurs, execution will be terminated abnormally and all transactions will be ___________
Committed to the database
Rolled back

Companies collect and record their own operational data, but at the same time they also use reference data obtained from _______ sources such as codes, prices etc.
Operational
None of these
Internal
External

____________ in agriculture extension is that pest population beyond which the benefit of spraying outweighs its cost.
Profit Threshold Level
Economic Threshold Level
Medicine Threshold Level
None of these

People that design and build the data warehouse must be capable of working across the organization at all levels
True
False
The _________ is only a small part in realizing the true business value buried within the mountain of data collected and stored within organizations business systems and operational databases.
Independence on technology
Dependence on technology
None of these