Question 1
Question
Which of the following is a characteristic of an OLAP?
Answer
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Uses single dimensional data analysis techniques
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Provides introductory database support and complex end user interfaces
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Provides introductory end-user interfaces
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Supports client/server architecture
Question 2
Question
Many of the OLAP interface features are "borrowed" from previous generations of data ____ tools.
Answer
-
module
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processing
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filtering
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analysis
Question 3
Question
____ is defined as an advanced data analysis environment that supports decision making, business modeling, and an operation’s researching activities.
Question 4
Question
The data warehouse and OLAP are two interrelated and complementary ____.
Answer
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environments
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programs
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systems
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warehouses
Question 5
Question
To provide better performance, some OLAP systems merge the data warehouse and data mart approaches by storing small extracts of the data warehouse at end user ____.
Answer
-
workstations
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queries
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schemas
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servers
Question 6
Question
MOLAP extends OLAP functionality to multidimensional ____ management systems.
Answer
-
online
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database
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processing
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data
Question 7
Question
The location of each data value in the data cube is a function of the x, y, and z axes in a ____ space.
Answer
-
one-dimensional
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two-dimensional
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three-dimensional
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multidimensional
Question 8
Question
Data cubes are created by extracting data from the operational database or from the data ____.
Answer
-
base
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management system
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processing system
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warehouse
Question 9
Question
Since the data cube is predefined with a set number of dimensions, the addition of a new dimension requires that the entire data cube be ____.
Answer
-
modified
-
updated
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deleted
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re-created
Question 10
Question
____ schemas yield an easily implemented model for multidimensional data analysis, while still preserving the relational structures on which the operational database is built.
Answer
-
Fact
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Star
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Dimensional
-
Operational
Question 11
Question
____ are qualifying characteristics that provide additional perspectives to a given fact.
Answer
-
Views
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Attributes
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Dimensions
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Fact Tables
Question 12
Question
The ____ hierarchy provides a top-down data organization that is used for two main purposes: aggregation and drill-down/roll-up data analysis.
Answer
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relational
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dimensional
-
multidimensional
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attribute
Question 13
Question
____ splits a table into subsets of rows or columns and places the subsets close to the client computer to improve data access time.
Answer
-
Partitioning
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Replication
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Aggregation
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Denormalizing
Question 14
Question
____ makes a copy of a table and places it in a different location, to improve access time.
Answer
-
Periodicity
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Aggregation
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Partitioning
-
Replication
Question 15
Question
____ provides information about the timespan of the data stored in the table.
Answer
-
Periodicity
-
Partitioning
-
Replication
-
Aggregation
Question 16
Question
During the data ____ phase of data mining, the main data sets to be used by the data mining operation are identified and cleansed of any data impurities.
Answer
-
analysis
-
preparation
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classification
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acquisition
Question 17
Question
During the data ____ phase of data mining, common characteristics or patterns are identified.
Answer
-
analysis
-
preparation
-
extraction
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acquisition
Question 18
Question
During the ____ phase of data mining, the data mining findings are used to predict future behavior and forecast business outcomes.
Question 19
Question
The ____ schema creates the near equivalent of a multidimensional database schema from the existing relational database.
Question 20
Question
Which of the following is NOT a basic component of a star schema?
Answer
-
Attribute hierarchy
-
Fact
-
Domain
-
Dimension
Question 21
Question
Using multidimensional jargon, the ability to focus on slices of the cube to perform a more detailed analysis is known as ____.
Answer
-
star cuts
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slice and dice
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microscoping
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TPL processing
Question 22
Question
In contrast to the traditional DSS tools, data mining is ____.
Answer
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proactive
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protective
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automatic
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costly