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