Data is the fuel that drives the industries and businesses today. This quiz "k201 lecture exam 1" practice test contains various questions related to the industry, management, data, and how one can take the industry to new heights. The quiz is based on the theoretical aspect of it; performing well in the quiz will help you in your career too, See moreas it will increase your knowledge about the industry functions. If you like the quiz, share it with others. All the best!
Operational
Procedural
Managerial
Strategic
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True
False
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A spreadsheet
A database
A filing cabinet
None of the above
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True
False
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Track changes to shared documents
Allow checkout of documents before they are edited
Provide workflow control to manage the activities that are predefined by the group
Provide version to documents
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Descriptive information
Metadata
Field names
Tuples
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True
False
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3 primary functions
5 primary functions
1 primary function
4 primary functions
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Data Mining (DM) Systems
Business Intelligence (BI) Application
Business Intelligence (BI) Systems
Business Knowledge (BK) Systems
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Business intelligence
Business data
Business knowledge
None of the above
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False
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Acquire data
Cleanse data
Publish results
Analyze data
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False
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Problematic operational data are termed rough data
It is always better to have data with too coarse a granularity than with too fine a granularity
If the data granularity is too coarse, the data can be made finer by summing and combining
Purchased data often contains missing elements
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SQL
MS Access
DB2
Paradox
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True
False
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Object-oriented DBMS
Strategic DBMS
Personal DBMS
Enterprise DBMS
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True
False
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Mine
Cube
Mart
Warehouse
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False
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Query model
Data application
Data aggregator
Data model
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Data warehouse
Data model
Data mine
Data mart
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Many-to-many
One-to-one
One-to-many
Many-to-one
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Data mining
Data warehousing
Data optimization
Database normalization
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Neural networks are a popular unsupervised data mining application
Analysts do not create a model or hypothesis before running the analysis
Unsupervised data mining requires analysts to fit data to suggested hypotheses
Unsupervised data mining requires tools such as regression analysis
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Click streaming
Supervised data mining
Unsupervised data mining
Cluster analysis
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True
False
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Intellectual property protection
Knowledge management
Repository management
Business process reengineering
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False
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Knowledge management protocol
Expert system
Hyper-social knowledge management
BI server management
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True
False
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Hybrid market report
Static report
Expert system
Dynamic report
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Neural networks
RSS feeds
Metadata
Expert systems
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Interdependence
Systems thinking
Collaboration
Cooperation
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Software
Hardware
Data
Procedures
People
All are equally important
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True
False
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Define system
Define requirements
Design system components
Implement system
Maintain systam
All phases are equally important
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Form the project team
Maintain the system
Create and test components
Assess process results
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Marginal returns
Diseconomies of scale
Marginal utility
Diseconomies of scope
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People should work together to cooperate, whereas they need not work together to collaborate.
Unlike cooperation, collaboration occurs when a job has to be accomplished.
Cooperation requires people to have a common goal, whereas collaboration occurs even without a common goal.
Unlike cooperation, collaboration gives importance to iteration and feedback.
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Becoming informed
Performing routine tasks
Evaluating coworkers
Combining pieces of work
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True
False
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Tactical
Managerial
Operational
Strategic
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Knowledge
Data
Information
None of the above
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Managerial
Operational
Strategic
Top-level
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Corporate
Structured
Organizational
Strategic
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Should we continue to outsource our bookkeeping processes?
When should the next batch be scheduled to reduce idle time?
How many overtime hours should be used to fill this order?
What is the acceptable defect ratio for this product?
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