Question 1

Document management systems are essentially large databases.

Accepted Answer

A) True 
 B)False  True

Question 2

You are advising a video production company on the best type of knowledge management system to help them archive digital video and sound clips.Which of the following will suit their needs?

Accepted Answer

A) MOOC 
B) Digital asset management system 
C) CAD system 
D) VRML system 
E) LMS 
A) MOOC 
B) Digital asset management system 
C) CAD system 
D) VRML system 
E) LMS B

Question 3

Which of the following statements about 3-D printing is not true?

Accepted Answer

A) It creates solid objects. 
B) It is also called additive manufacturing. 
C) It is incompatible with the cloud. 
D) It creates objects layer by layer. 
E) It uses specifications in a digital file. 
A) It creates solid objects. 
B) It is also called additive manufacturing. 
C) It is incompatible with the cloud. 
D) It creates objects layer by layer. 
E) It uses specifications in a digital file. C

Question 4

Software programs that work without direct human intervention to carry out specific tasks for individual users,business processes,or software applications,are called:

Accepted Answer

A) intelligent agents. 
B) intelligent techniques. 
C) business intelligence. 
D) AI hybrid systems. 
E) genetic algorithms. 
A) intelligent agents. 
B) intelligent techniques. 
C) business intelligence. 
D) AI hybrid systems. 
E) genetic algorithms.

Question 5

What do you see as the challenges in setting up a knowledge management system?

Accepted Answer

Determining what knowledge will be the m

Question 6

Knowledge is "sticky" and not easily moved.

Accepted Answer

A) True 
 B)False

Question 7

The model of human knowledge used by expert systems is referred to as:

Accepted Answer

A) the knowledge base. 
B) CBR. 
C) a neural network. 
D) expert AI 
E) VRML. 
A) the knowledge base. 
B) CBR. 
C) a neural network. 
D) expert AI 
E) VRML.

Question 8

Which of the following statements about genetic algorithms is not true?

Accepted Answer

A) Genetic algorithms are based on techniques inspired by evolutionary biology. 
B) Genetic algorithms are used to solve problems that are very dynamic and complex,involving hundreds or thousands of variables or formulas. 
C) Genetic algorithms are able to evaluate many solution alternatives quickly to find the best one. 
D) Genetic algorithms use an iterative process to refine initial solutions so that better ones are more likely to emerge as the best solution. 
E) Genetic algorithms discover knowledge by using hardware and software that parallel the processing patterns of the biological or human brain. 
A) Genetic algorithms are based on techniques inspired by evolutionary biology. 
B) Genetic algorithms are used to solve problems that are very dynamic and complex,involving hundreds or thousands of variables or formulas. 
C) Genetic algorithms are able to evaluate many solution alternatives quickly to find the best one. 
D) Genetic algorithms use an iterative process to refine initial solutions so that better ones are more likely to emerge as the best solution. 
E) Genetic algorithms discover knowledge by using hardware and software that parallel the processing patterns of the biological or human brain.

Question 9

A(n)________ is a type of intelligent technique that finds patterns and relationships in massive data sets too large for a human to analyze.

Accepted Answer

A) inference engine 
B) CAD 
C) expert system 
D) genetic algorithm 
E) neural network 
A) inference engine 
B) CAD 
C) expert system 
D) genetic algorithm 
E) neural network

Question 10

To automate routine tasks to help firms search for and filter information for use in electronic commerce and supply chain management a firm would most likely use which of the following?

Accepted Answer

A) CAD system 
B) VR system 
C) Fuzzy logic 
D) Intelligent agent 
E) Genetic algorithm 
A) CAD system 
B) VR system 
C) Fuzzy logic 
D) Intelligent agent 
E) Genetic algorithm

Question 11

What is the first value-adding step in the knowledge business value chain?

Accepted Answer

A) Acquire 
B) Data and information acquisition 
C) Store 
D) Disseminate 
E) Apply 
A) Acquire 
B) Data and information acquisition 
C) Store 
D) Disseminate 
E) Apply

Question 12

Expert systems capture the knowledge of skilled employees in the form of a set of rules in a software system that can be used by others in the organization.

Accepted Answer

A) True 
 B)False

Question 13

The yellow first-down markers shown on televised football games are examples of AR.

Accepted Answer

A) True 
 B)False

Question 14

Intelligent agents can discover underlying patterns,categories,and behaviors in large data sets.

Accepted Answer

A) True 
 B)False

Question 15

Today's AI systems are about to come up with new and novel solutions to problems.

Accepted Answer

A) True 
 B)False

Question 16

Which of the following would not be classified as a KWS?

Accepted Answer

A) CAD system 
B) 3D visualization system 
C) AR applications 
D) Expert system 
E) VR system 
A) CAD system 
B) 3D visualization system 
C) AR applications 
D) Expert system 
E) VR system

Question 17

Which of the following describes a difference between neural networks and genetic algorithms?

Accepted Answer

A) Genetic algorithms are designed to process large amounts of information. 
B) Genetic algorithms are a type of knowledge discovery,while neural networks are an intelligent technique. 
C) Neural networks are programmed to "learn." 
D) Genetic algorithms are designed to work with small amounts of data,while neural networks can handle large quantities of data. 
E) Neural networks are a type of machine learning,whereas genetic algorithms are static programs. 
A) Genetic algorithms are designed to process large amounts of information. 
B) Genetic algorithms are a type of knowledge discovery,while neural networks are an intelligent technique. 
C) Neural networks are programmed to "learn." 
D) Genetic algorithms are designed to work with small amounts of data,while neural networks can handle large quantities of data. 
E) Neural networks are a type of machine learning,whereas genetic algorithms are static programs.

Question 18

Hybrid AI applications are being implemented in home appliances,such as washing machines.

Accepted Answer

A) True 
 B)False

Question 19

Which of the following statements is not an accurate description of the importance of knowledge to a firm?

Accepted Answer

A) Knowledge experiences network effects as more people share it. 
B) Knowledge should be seen as an intangible key asset. 
C) Knowledge enables firms to become more efficient in their use of scarce resources. 
D) Knowledge is unconditional. 
E) Much of the firm's value relies on being able to create knowledge. 
A) Knowledge experiences network effects as more people share it. 
B) Knowledge should be seen as an intangible key asset. 
C) Knowledge enables firms to become more efficient in their use of scarce resources. 
D) Knowledge is unconditional. 
E) Much of the firm's value relies on being able to create knowledge.

Question 20

What is the difference between a neural network,fuzzy logic,and genetic algorithms? Which would be most useful to an organization of astronomers analyzing gamma ray emissions reaching Earth?

Accepted Answer

A neural network attempts to emulate the

Document management systems are essentially large databases.

You are advising a video production company on the best type of knowledge management system to help them archive digital video and sound clips.Which of the following will suit their needs?

Which of the following statements about 3-D printing is not true?

Software programs that work without direct human intervention to carry out specific tasks for individual users,business processes,or software applications,are called:

What do you see as the challenges in setting up a knowledge management system?

Knowledge is "sticky" and not easily moved.

The model of human knowledge used by expert systems is referred to as:

Which of the following statements about genetic algorithms is not true?

A(n)________ is a type of intelligent technique that finds patterns and relationships in massive data sets too large for a human to analyze.

To automate routine tasks to help firms search for and filter information for use in electronic commerce and supply chain management a firm would most likely use which of the following?

What is the first value-adding step in the knowledge business value chain?

Expert systems capture the knowledge of skilled employees in the form of a set of rules in a software system that can be used by others in the organization.

The yellow first-down markers shown on televised football games are examples of AR.

Intelligent agents can discover underlying patterns,categories,and behaviors in large data sets.

Today's AI systems are about to come up with new and novel solutions to problems.

Which of the following would not be classified as a KWS?

Which of the following describes a difference between neural networks and genetic algorithms?

Hybrid AI applications are being implemented in home appliances,such as washing machines.

Which of the following statements is not an accurate description of the importance of knowledge to a firm?

What is the difference between a neural network,fuzzy logic,and genetic algorithms? Which would be most useful to an organization of astronomers analyzing gamma ray emissions reaching Earth?

Information Systems in Global Business Today

Global E-Business and Collaboration

Information Systems,organizations,and Strategy

Ethical and Social Issues in Information Systems

It Infrastructure and Emerging Technologies

Foundations of Business Intelligence: Databases and Information Management

Telecommunications,the Internet,and Wireless Technology

Securing Information Systems

Achieving Operational Excellence and Customer Intimacy: Enterprise Applications

E-Commerce: Digital Markets,digital Goods

Enhancing Decision Making

Building Information Systems

Managing Projects

Managing Global Systems

Filters

Exam 11: Managing Knowledge

Document management systems are essentially large databases.

You are advising a video production company on the best type of knowledge management system to help them archive digital video and sound clips.Which of the following will suit their needs?

Which of the following statements about 3-D printing is not true?

Software programs that work without direct human intervention to carry out specific tasks for individual users,business processes,or software applications,are called:

What do you see as the challenges in setting up a knowledge management system?

Knowledge is "sticky" and not easily moved.

The model of human knowledge used by expert systems is referred to as:

Which of the following statements about genetic algorithms is not true?

A(n)________ is a type of intelligent technique that finds patterns and relationships in massive data sets too large for a human to analyze.

To automate routine tasks to help firms search for and filter information for use in electronic commerce and supply chain management a firm would most likely use which of the following?

What is the first value-adding step in the knowledge business value chain?

Expert systems capture the knowledge of skilled employees in the form of a set of rules in a software system that can be used by others in the organization.

The yellow first-down markers shown on televised football games are examples of AR.

Intelligent agents can discover underlying patterns,categories,and behaviors in large data sets.

Today's AI systems are about to come up with new and novel solutions to problems.

Which of the following would not be classified as a KWS?

Which of the following describes a difference between neural networks and genetic algorithms?

Hybrid AI applications are being implemented in home appliances,such as washing machines.

Which of the following statements is not an accurate description of the importance of knowledge to a firm?

What is the difference between a neural network,fuzzy logic,and genetic algorithms? Which would be most useful to an organization of astronomers analyzing gamma ray emissions reaching Earth?

Information Systems in Global Business Today

Global E-Business and Collaboration

Information Systems,organizations,and Strategy

Ethical and Social Issues in Information Systems

It Infrastructure and Emerging Technologies

Foundations of Business Intelligence: Databases and Information Management

Telecommunications,the Internet,and Wireless Technology

Securing Information Systems

Achieving Operational Excellence and Customer Intimacy: Enterprise Applications

E-Commerce: Digital Markets,digital Goods

Enhancing Decision Making

Building Information Systems

Managing Projects

Managing Global Systems

Filters