Which of the following
represents the different information levels?
FINAL TEST MGT300 INFORMATION TECHNOLOGY IN BUSINESS
Quiz
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Business
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University
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Medium
siti haslinda
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42 questions
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1.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
Which of the following
represents the different information levels?
Detail, summary, aggregate
Individual, department, enterprise
Document, presentation, spreadsheet, database
Individual, document, presentation, spreadsheet, database
2.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
What is one of the biggest pitfalls associated with real-time information?
It is only available to high-level executives due to the expense
It is only available in aggregate levels of granularity
It continually changes
It rarely changes
3.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
Which of the following database structures stores information in a tree-like structure that allows repeating information using parent/child relationships, in such a way that it cannot have too many relationships?
Hybrid database
Network database
Hierarchical database
Relational database model
4.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
In the relational database model, what is a person, place, thing, transaction, or event about which information is stored?
Entity
Attribute
Constraint
Relationships
5.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
Which of the following is incorrect in reference to a database?
Can be relational or network
Information is accessed by logical structure
Information is accessed by physical structure
Users can access different views of information
6.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
A data warehouse is a __________ collection of information-gathered from many different __________ databases-that supports business analysis activities and decision-making tasks.
Physical, transactional
Physical, operational
Logical, transactional
Logical, operational
7.
MULTIPLE CHOICE QUESTION
5 mins • 1 pt
What is data mining?
A particular attribute of information
The common term for the representation of multidimensional information
Process of analyzing data to extract information not offered by the raw data alone
Uses a variety of techniques to find patterns and relationships in large volumes of information and infer rules from them that predict future behavior and guide decision making
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