Question 1

People are ultimately the ______ of knowledge.

Accepted Answer

A)  Storage
B)  Gainer
C)  Holders
D)  Acquire C

Question 2

The purpose of ________ is to obtain a decrease in the number of distinct values assumed by one or more attributes.

Accepted Answer

A)  Data Validation
B)  Data Transformation
C)  Data Reduction
D)  Data Noise D

Question 3

JESS is an abbreviation for ________.

Accepted Answer

A)  Java Enhanced System Sell
B)  Java Expert System Sell
C)  Java Expert Sub System
D)  Java Enhanced Sub System B

Question 4

_______ is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.

Accepted Answer

A)  Machine Intelligence
B)  Artificial Intelligence
C)  Linguistic Intelligence
D)  Naturalistic Intelligence

Question 5

Which of the following gave rise to need of graphs in data analysis?

Accepted Answer

A)  Data visualization
B)  Communicating results
C)  Decision making
D)  All of the mentioned

Question 6

Which of the following is characteristic of exploratory graph?

Accepted Answer

A)  Made slowly
B)  Axes are not cleaned up
C)  Color is used for personal information
D)  All of the mentioned

Question 7

Business intelligence (BI) is a broad category of application programs which includes :

Accepted Answer

A)  Decision support
B)  Data mining
C)  OLAP
D)  All of the mentioned

Question 8

Computer information system are most successful in providing information for:

Accepted Answer

A)  Control decisions
B)  Planning decision
C)  Strategic decision
D)  None of the above

Question 9

Which of the following problem is solved by reproducibility?

Accepted Answer

A)  Scalability
B)  Data availability
C)  Improved data analysis
D)  None of the mentioned

Question 10

PCA is

Accepted Answer

A)  Projection Combination Analysis
B)  Principal Combination Analysis
C)  Principal Component Analysis..
D)  Projection Combination Analysis.

Question 11

In decision making step of Knowledge Management process the _____ is used for decision making.

Accepted Answer

A)  Data
B)  Knowledge
C)  Information
D)  Metadata

Question 12

Which of the following is required by K-means clustering?

Accepted Answer

A)  defined distance metric
B)  number of clusters
C)  initial guess as to cluster centroids
D)  all of the mentioned

Question 13

Decision support systems are essential for

Accepted Answer

A)  Day-to-day operation of an organization.
B)  Providing statutory information.
C)  Top level strategic decision making.
D)  Ensuring that organizations are profitable.

Question 14

Point out the wrong statement.

Accepted Answer

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

Question 15

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.

Accepted Answer

A)  (-3,3) 
B)  (-2,2) 
C)  (-4,4) 
D)  (-1,1)

Question 16

''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?

Accepted Answer

A)  Interpretation
B)  Prediction
C)  Data mining
D)  A & B both

Question 17

Which of the following clustering requires merging approach?

Accepted Answer

A)  Partitional
B)  Hierarchical
C)  Naive Bayes
D)  None of the mentioned

Question 18

Which of the following describes the order in which customers are extracted from the line to be admitted to the service?

Accepted Answer

A)  Population
B)  Arrivals
C)  Waiting lines
D)  Line rules

Question 19

Data, information and past experience combined together are termed as _______.

Accepted Answer

A)  Intelligence
B)  Knowledge
C)  Expert systems
D)  Data driven systems

Question 20

Which of the following information is not given by five-number summary?

Accepted Answer

A)  Mean
B)  Median
C)  Mode
D)  All of the mentioned

Exam 1: Knowledge Management and Decision Making