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Frage 1
Frage
1.Implementing BI in an organization involves capturing not only business data (internal and external) but also the ____.
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a.metadata
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b.facts
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c.information
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d.rules
Frage 2
Frage
2.Analyzing decision support data to generate information is part of ____.
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a.data warehousing
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b.very large database systems
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c.business intelligence
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d.distributed processing
Frage 3
Frage
3.Data mining is part of the “____” section of the business intelligence framework.
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a.Peopl
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b.Management
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c.Processes
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d.Governance
Frage 4
Frage
4.A data mart is part of the “____” section of the business intelligence framework.
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a.People
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b.Management
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c.Processes
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d.Governance
Frage 5
Frage
5.____’s main goal is to provide a comprehensive and consistent definition of all data within an organization.
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a.DBMS
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b.OLAP
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c.Data warehousing
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d.MDM
Frage 6
Frage
6.The ____ contains business data extracted from the operational database and from external data sources.
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a.data store
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b.ETL tools
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c.data visualization tool
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d.data analysis tool
Frage 7
Frage
7.____ are in charge of presenting the data to the end user in a variety of ways.
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a.Data stores
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b.ETL tools
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c.Data visualization tools
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d.Data analysis tools
Frage 8
Frage
8.____provide a unified, single point of entry for information distribution.
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a.Decision support systems
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b.Portals
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c.Data warehouses
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d.Dashboards
Frage 9
Frage
9.Data is captured from the OLTP system and placed on the ____ on a near-real time basis.
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a.decision support system
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b.portal
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c.data warehouse
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d.dashboard
Frage 10
Frage
10.BusinessObjects is a(n) ____ tool
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a.OLAP
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b.data visualization
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c.data mining
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d.data warehouse
Frage 11
Frage
11.Had ____ been as pivotal to business operations a few years back, crises precipitated by the likes of Enron, WorldCom, and Arthur Andersen might have been avoided.
Antworten
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a.OLAP
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b.data mining
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c.governance
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d.networking
Frage 12
Frage
12.____ systems provided no data extraction/integration process.
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a.Third-generation Mobile BI and cloud-based
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b.First-generation BI
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c.First-generation departmental decision support
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d.Traditional mainframe-based online transaction processing
Frage 13
Frage
13.From the data analyst’s point of view, decision support data differ from operational data in three main areas: time span, granularity, and ____.
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a.usability
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b.dimensionality
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c.transaction processing
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d.sparsity
Frage 14
Frage
14.A characteristic of decision support data is ____.
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a.high query activity
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b.high update volumes
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c.highly normalized
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d.low aggregation level
Frage 15
Frage
15.A characteristic of operational data is ____.
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a.summarized data
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b.hundreds of gigabytes
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c.high normalization
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d.historic data
Frage 16
Frage
16.In 2008, Wal-Mart, the world’s largest company, had over four ____ of data in its data warehouses.
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a.megabytes
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b.gigabytes
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c.terabytes
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d.petabytes
Frage 17
Frage
17.Data ____ implies that all business entities, data elements, data characteristics, and business metrics are described in the same way throughout the enterprise.
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a.volatility
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b.time-variation
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c.subject-orientation
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d.integration
Frage 18
Frage
18.____ can serve as a test vehicle for companies exploring the potential benefits of data warehouses.
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a.Data networks
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b.Data marts
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c.Data cubes
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d.OLAPs
Frage 19
Frage
19.There are 12 rules that define a(n) ____.
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a.data warehouse
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b.multidimensional cube
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c.OLAP tool
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d.star schema
Frage 20
Frage
20.The basic star schema has four components: facts, ____, attributes, and attribute hierarchies.
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a.keys
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b.relationships
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c.cubes
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d.dimensions
Frage 21
Frage
21.Computed or derived facts are sometimes called ____to differentiate them from stored facts.
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a.details
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b.attributes
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c.metrics
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d.fact tables
Frage 22
Frage
22.In a star schema, dimensions are normally stored in ____.
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a.attributes
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b.indexes
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c.fact tables
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d.dimension tables
Frage 23
Frage
23.In a star schema, attributes are often used to search, filter, or classify ____.
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a.tables
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b.stars
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c.fact
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d.dimensions
Frage 24
Frage
24.The ____ dimension of a data cube provides a framework from which sales patterns can be analyzed and possibly
predicted.
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a.time
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b.cube
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c.third
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d.multi
Frage 25
Frage
25.The attribute hierarchy provides a top-down data organization that is used for two main purposes: ____and drilldown/roll up data analysis
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a.hierarchy
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b.de-normalization
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c.normalization
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d.aggregation
Frage 26
Frage
26.Fact and dimension tables are related by ____ keys.
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a.shared
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b.primary
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c.foreign
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d.linked
Frage 27
Frage
27.In a typical star schema, each dimension record is related to thousands of ____ records.
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a.attribute
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b.fact
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c.key
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d.star
Frage 28
Frage
28.A ____ schema is a type of star schema in which the dimension tables can have their own dimension tables.
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a.snowflake
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b.starflake
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c.mesh
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d.matrix
Frage 29
Frage
29.____splits a table into subsets of rows or columns and places the subsets close to the client computer to improve data access time
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a.Normalization
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b.Meta modeling
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c.Replication
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d.Partitioning
Frage 30
Frage
30.In a MOLAP system, the MOLAP ____ allows end users to interact with the MOLAP server and request data for analysis.
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a.GUI
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b.operational database
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c.multidimensional database
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d.data cube
Frage 31
Frage
31.The reliance on ____ as the design methodology for relational databases is seen as a stumbling block to its use in
OLAP systems.
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a.normalization
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b.denormalization
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c.star schema
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d.multidimensional schema
Frage 32
Frage
32.Decision support data tend to be non-normalized, ____, and pre-aggregated.
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a.unique
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b.duplicated
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c.relational
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d.sorted
Frage 33
Frage
33.The ____ schema is designed to optimize data query operations rather than data update operations.
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a.relational
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b.circle
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c.star
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d.matrix
Frage 34
Frage
34.ROLAP extends ____ so that it can differentiate between access requirements for data warehouse data and operational data.
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a.SQL
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b.OLAP
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c.DDS
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d.BI
Frage 35
Frage
35.A ____ index is based on 0 and 1 bits to represent a given condition.
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a.logical
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b.multidimensional
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c.star
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d.bitmapped
Frage 36
Frage
36.Conceptually, MDBMS end users visualize the stored data as a three-dimensional cube known as a____.
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a.multi cube
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b.data matrix
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c.data cube
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d.hyper cube
Frage 37
Frage
37.A MOLAP system stores data in an MDBMS, using proprietary ____ and array technology to simulate the multidimensional cube.
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a.table
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b.matrix
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c.network
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d.cube
Frage 38
Frage
38.What is one of the main characteristics of OLAP systems?
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a.They use single-dimensional data analysis techniques.
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b.They provide complex command-line end-user interfaces.
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c.They provide minimal database support.
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d.They support client/server architecture.
Frage 39
Frage
39.What is a characteristic of ROLAP?
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a.It uses the star schema
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b.It does not require high resources.
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c.It is limited to predefined dimensions.
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d.It has low flexibility.
Frage 40
Frage
40.A(n) ____is a dynamic table that not only contains the SQL query command to generate the rows, but also stores the actual rows.
Antworten
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a.OLAP
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b.materialized view
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c.star schema
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d.data cube
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