Deck 1: Knowledge Management and Decision Making
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Deck 1: Knowledge Management and Decision Making
1
In decision making step of Knowledge Management process the _____ is used for decision making.
A)Data
B)Knowledge
C)Information
D)Metadata
A)Data
B)Knowledge
C)Information
D)Metadata
Knowledge
2
People are ultimately the ______ of knowledge.
A)Storage
B)Gainer
C)Holders
D)Acquire
A)Storage
B)Gainer
C)Holders
D)Acquire
Holders
3
_______ is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
A)Machine Intelligence
B)Artificial Intelligence
C)Linguistic Intelligence
D)Naturalistic Intelligence
A)Machine Intelligence
B)Artificial Intelligence
C)Linguistic Intelligence
D)Naturalistic Intelligence
Artificial Intelligence
4
Data, information and past experience combined together are termed as _______.
A)Intelligence
B)Knowledge
C)Expert systems
D)Data driven systems
A)Intelligence
B)Knowledge
C)Expert systems
D)Data driven systems
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5
JESS is an abbreviation for ________.
A)Java Enhanced System Sell
B)Java Expert System Sell
C)Java Expert Sub System
D)Java Enhanced Sub System
A)Java Enhanced System Sell
B)Java Expert System Sell
C)Java Expert Sub System
D)Java Enhanced Sub System
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6
Business intelligence (BI) is a broad category of application programs which includes :
A)Decision support
B)Data mining
C)OLAP
D)All of the mentioned
A)Decision support
B)Data mining
C)OLAP
D)All of the mentioned
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7
Which of following is not phase of decision making process
A)Design
B)Analysis
C)Intelligence
D)Choice
A)Design
B)Analysis
C)Intelligence
D)Choice
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8
Decision support systems are essential for
A)Day-to-day operation of an organization.
B)Providing statutory information.
C)Top level strategic decision making.
D)Ensuring that organizations are profitable.
A)Day-to-day operation of an organization.
B)Providing statutory information.
C)Top level strategic decision making.
D)Ensuring that organizations are profitable.
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9
Computer information system are most successful in providing information for:
A)Control decisions
B)Planning decision
C)Strategic decision
D)None of the above
A)Control decisions
B)Planning decision
C)Strategic decision
D)None of the above
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10
Which of the following describes the order in which customers are extracted from the line to be admitted to the service?
A)Population
B)Arrivals
C)Waiting lines
D)Line rules
A)Population
B)Arrivals
C)Waiting lines
D)Line rules
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11
''To anticipate the value that a random variable will assume in the future or to estimate the likelihood of the future events'' is the purpose of?
A)Interpretation
B)Prediction
C)Data mining
D)A & B both
A)Interpretation
B)Prediction
C)Data mining
D)A & B both
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12
If the distribution of values of the attribute aj is roughly normal, the z index based transformaltion generates values that are almost certainly within the range.
A)(-3,3)
B)(-2,2)
C)(-4,4)
D)(-1,1)
A)(-3,3)
B)(-2,2)
C)(-4,4)
D)(-1,1)
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13
The purpose of ________ is to obtain a decrease in the number of distinct values assumed by one or more attributes.
A)Data Validation
B)Data Transformation
C)Data Reduction
D)Data Noise
A)Data Validation
B)Data Transformation
C)Data Reduction
D)Data Noise
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14
PCA is
A)Projection Combination Analysis
B)Principal Combination Analysis
C)Principal Component Analysis..
D)Projection Combination Analysis.
A)Projection Combination Analysis
B)Principal Combination Analysis
C)Principal Component Analysis..
D)Projection Combination Analysis.
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15
Which of the following is required by K-means clustering?
A)defined distance metric
B)number of clusters
C)initial guess as to cluster centroids
D)all of the mentioned
A)defined distance metric
B)number of clusters
C)initial guess as to cluster centroids
D)all of the mentioned
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16
Point out the wrong statement.
A)k-means clustering is a method of vector quantization
B)k-means clustering aims to partition n observations into k clusters
C)k-nearest neighbor is same as k-means
D)none of the mentioned
A)k-means clustering is a method of vector quantization
B)k-means clustering aims to partition n observations into k clusters
C)k-nearest neighbor is same as k-means
D)none of the mentioned
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17
Which of the following clustering requires merging approach?
A)Partitional
B)Hierarchical
C)Naive Bayes
D)None of the mentioned
A)Partitional
B)Hierarchical
C)Naive Bayes
D)None of the mentioned
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18
Which of the following gave rise to need of graphs in data analysis?
A)Data visualization
B)Communicating results
C)Decision making
D)All of the mentioned
A)Data visualization
B)Communicating results
C)Decision making
D)All of the mentioned
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19
Which of the following is characteristic of exploratory graph?
A)Made slowly
B)Axes are not cleaned up
C)Color is used for personal information
D)All of the mentioned
A)Made slowly
B)Axes are not cleaned up
C)Color is used for personal information
D)All of the mentioned
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20
Which of the following information is not given by five-number summary?
A)Mean
B)Median
C)Mode
D)All of the mentioned
A)Mean
B)Median
C)Mode
D)All of the mentioned
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21
Which of the following graph can be used for simple summarization of data?
A)Scatterplot
B)Overlaying
C)Barplot
D)All of the mentioned
A)Scatterplot
B)Overlaying
C)Barplot
D)All of the mentioned
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22
Which of the following problem is solved by reproducibility?
A)Scalability
B)Data availability
C)Improved data analysis
D)None of the mentioned
A)Scalability
B)Data availability
C)Improved data analysis
D)None of the mentioned
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