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MIS Final

Total questions: 67

Worksheet time: 34mins

Name
Class
Date
1.

_____ consists of related technologies that try to simulate and reproduce human thought behavior, including thinking, speaking, feeling, and reasoning.

a)

Cloud computing

b)

Data mining

c)

Artificial intelligence

d)

Grid computing

2.

In a natural-language processing (NLP) system, the _____ activity involves accepting human language as input, carrying out the corresponding command, and generating the necessary output.

a)

Interfacing

b)

knowledge acquisition

c)

analysis

d)

data warehousing

3.

Which is an expert system used for monitoring what consumers are saying in blogs, comment sections, message boards, and Web-based articles?

a)

ASIMO

b)

SHINE

c)

COGITO

d)

DENDRAL

4.

Which is a type of artificial neural network (ANN) that includes many layers to deal with complex problems that may have very large data sets?

a)

Virtual computing

b)

Sparse sampling

c)

Compressive sensing

d)

Deep learning

5.

What can serve as search engines, site reminders, or personal surfing assistants?

a)

Monitoring and surveillance agents

b)

Heuristic-data agents

c)

Data-mining agents

d)

Shopping and information agents

6.

In the context of applications of artificial intelligence (AI), _____ perform well at simple, repetitive tasks and can be used to free workers from tedious or hazardous jobs.

a)

Robots

b)

electronic trackers

c)

data mining agents

d)

firewalls

7.

A _____ agent can be used to perform specific tasks for a user, such as remembering information for filling out Web forms.

a)

surveillance

b)

shopping

c)

data-mining

d)

personal

8.

A(n) _____ consists of programs that mimic human thought behavior in a specific area that human specialists have solved successfully.

a)

database system

b)

spiral model

c)

evolutionary model

d)

expert system

9.

Which system provides an easier way for people to communicate with a computer than a graphical user interface (GUI)?

a)

data mining

b)

transaction-processing

c)

natural-language processing

d)

data abstraction

10.

In the context of the types of decision-making analyses, what type of analysis is used in decision support systems?

a)

case-based

b)

what-is

c)

what-if

d)

rule-based

11.

What was the first expert system developed to determine the chemical structure of molecules?

a)

ASIMO

b)

SHINE

c)

DENDRAL

d)

COGITO

12.

In the context of fuzzy logic, which defines membership in a black-or-white fashion?

a)

A crisp set

b)

A coded set

c)

A mutable set

d)

A dynamic set

13.

The knowledge base component of an expert system must include _____ knowledge, which consists of rules related to a problem or discipline.

a)

meta-

b)

heuristic

c)

factual

d)

subjective

14.

In the context of the different techniques used by an inference engine to manipulate a series of rules, _____ refers to a series of “if-then-else” condition pairs.

a)

forward chaining

b)

backward chaining

c)

inductive reasoning

d)

abductive reasoning

15.

In the context of the knowledge base component of an expert system, _____ knowledge, enables an expert system to learn from experience and examine and extract relevant facts to determine the path to a solution.

a)

meta-

b)

factual

c)

heuristic

d)

dominant

16.

In the context of the components of a typical expert system, _____ is similar to a database, but in addition to storing facts and figures it keeps track of rules and explanations associated with facts.

a)

a knowledge acquisition facility

b)

a knowledge base

c)

factual knowledge

d)

heuristic knowledge

17.

_____ computing refers to a computing environment that is always present, can feel our surroundings, and-based on who we are, where we are, and whom we are with-offer recommendations.

a)

Distributed

b)

Contextual

c)

Grid

d)

Cluster

18.

_____ agents usually track and report on computer equipment and network systems to predict when a system crash or failure might occur.

a)

Routing

b)

Monitoring and surveillance

c)

Data-mining and data-warehousing

d)

Personal

19.

A natural-language processing system provides a _______ for people to use.

a)

GUI environment

b)

question-and-answer setting

c)

command-line interface

d)

point and click environment

20.

Which is an example of an expert system that can be applied to various financial applications?

a)

DENDRAL

b)

ASIMO

c)

Shyster

d)

PortBlue

21.

In the context of decision makers using information technology, which decision-making analyses is available in spreadsheet programs, such as Microsoft Excel?

a)

if-else analysis

b)

if-continue analysis

c)

what-if analysis

d)

what-is analysis

22.

_____ are networks that learn and are capable of performing tasks that are difficult with conventional computers.

a)

Storage area networks

b)

Artificial neural networks

c)

Enterprise private networks

d)

Virtual private networks

23.

In a natural-language processing (NLP) system, the _____ activity involves using the computer to read large amounts of text and understanding the information well enough to summarize important points and store information so that the system can respond to inquiries about the content.

a)

interfacing

b)

knowledge acquisition

c)

analysis

d)

data warehousing

24.

In the context of adding artificial intelligence (AI) technologies to a decision support system’s model base component, _____ can be added to include heuristics in the model base’s analysis capabilities.

a)

expert systems

b)

firmware

c)

spyware

d)

virtual reality systems

25.

_____ are used with neural networks and fuzzy logic systems to solve scheduling, engineering design, and marketing problems.

a)

Quick response codes

b)

Biometric systems

c)

Genetic algorithms

d)

Feasibility prototypes

26.

Which type of computing draws on the human process of drawing on accumulated experiences and feelings to make a decision:

a)

database design

b)

case-based reasoning

c)

machine learning

d)

contextual computing

27.

_____ mimic the process of natural evolution to generate solutions to optimization and search problems.

a)

Genetic algorithms

b)

Greedy algorithms

c)

Firefly algorithms

d)

Backtracking algorithms

28.

Adding deductive reasoning to traditional database management system (DBMS) functions is a benefit of integrating an expert system into the database component of a(n) _____ system.

a)

transaction processing

b)

decision support

c)

global positioning

d)

executive information

29.

What programming language is used for controlling robots?

a)

Extensible Markup

b)

Variable Assembly

c)

Maya Embedded

d)

Digital Command

30.

_____ was developed so that users could communicate with computers in human language.

a)

Cryptanalysis

b)

Natural-language processing

c)

Context-aware software

d)

Personal agent technology

31.

A(n) _____ is the component of an expert system that performs tasks similar to what a human expert does by explaining to end users how recommendations are derived.

a)

user interface

b)

explanation facility

c)

inference engine

d)

knowledge base

32.

_____ is a problem-solving technique where each problem in a database is stored with a description and keywords that identify it.

a)

Rule-based reasoning

b)

Inductive reasoning

c)

Abductive reasoning

d)

Case-based reasoning

33.

Which system carries the idea of GPS service further than simply telling you which route to take to arrive at a particular place?

a)

Apple’s Siri

b)

Google Chat

c)

Yahoo’s doodle pad

d)

YouTube

34.

_____ allows a smooth, gradual transition between human and computer vocabularies and deals with variations in linguistic terms by using a degree of membership.

a)

Fuzzy logic

b)

Digital analysis

c)

Data mining

d)

Finite automata

35.

In the context of an expert system, a _____ works with the knowledge base management system to ensure that the knowledge base is as up to date as possible.

a)

knowledge mining tool

b)

knowledge acquisition facility

c)

knowledge inference engine

d)

meta-knowledge system

36.

In the context of the components of a typical expert system, _____ is a software package with manual or automated methods for acquiring and incorporating new rules and facts so that the expert system is capable of growth.

a)

knowledge base

b)

monitoring and surveillance agent

c)

knowledge acquisition facility

d)

personal agent

37.

_____ consist of common sense, rules of thumb, educated guesses, and instinctive judgments.

a)

Turing machines

b)

Heuristics

c)

Quick response codes

d)

Swift codes

38.

Genetic algorithms are used for problems that deal with ______.

a)

few input variables

b)

many input variables

c)

few output variables

d)

many output variables

39.

Which software is capable of reasoning and following rule-based processes?

a)

Case-based reasoning systems

b)

Intelligent agents

c)

Enterprise resource planning systems

d)

Quick Response codes

40.

_____ use patterns to find solutions instead of using the if-then-else rules that expert systems use.

a)

Virtual reality simulators

b)

Artificial neural networks

c)

Turing machines

d)

Heuristic machines

41.

What characteristic of a sophisticated intelligent agent demonstrates its ability to operate with minimum input?

a)

reactivity

b)

mobility

c)

Autonomy

d)

adaptab

42.

Intelligent agents demonstrate _____, which is the ability to select problems or situations that need attention and act on them.

a)

adaptability

b)

collaborative behavior

c)

humanlike interface

d)

Reactivity

43.

The _____ characteristic of an intelligent agent demonstrates the agent’s ability to migrate from one platform to another with a minimum of human intervention.

a)

reactivity

b)

adaptability

c)

autonomy

d)

Mobility

44.

The _____ characteristic of an intelligent agent demonstrates its ability to learn from previous knowledge and go beyond information given previously.

a)

autonomy

b)

Adaptability

c)

reactivity

d)

mobility

45.

In a transaction-processing system, if you enter a customer account number, the system displays the customer’s current balance. In this scenario, _____ decision-making analysis has been used to display the desired results.

a)

if-else

b)

if-continue

c)

what-if

d)

what-is

46.

Which statement is true of integrating an expert system into the database component of a decision support system (DSS)?

a)

It reduces access speed.

b)

It adds the capability to handle fuzzy data.

c)

It adds inductive reasoning to traditional database management system functions.

d)

It increases the time and cost of calculating data for models.

47.

Which statement is true of integrating an expert system into the database component of a decision support system (DSS)?

a)

It adds the capability to handle uncertainty

b)

It reduces access speed.

c)

It adds inductive reasoning to traditional database management system functions.

d)

It complicates query operations.

48.

The _____ characteristic of a sophisticated intelligent agent demonstrates its ability to interact with users in a more natural language.

a)

humanlike interface

b)

adaptability

c)

collaborative behavior

d)

reactivity

49.

In a loan evaluation expert system, the _____ states why an applicant was approved or rejected.

a)

explanation facility

b)

user interface

c)

inference engine

d)

meta-knowledge

50.

Explanation capabilities can be added to a decision support system (DSS) by integrating it with a(n) _____.

a)

expert system

b)

artificial neural network

c)

database management library

d)

natural-language processing system

51.

Fuzzy logic allows computers to ______ in a similar fashion to humans.

a)

Reason

b)

speak

c)

travel

d)

remember

52.

In the forward chaining technique, used by the inference engine component of an expert system, the _____ condition is evaluated first.

a)

If

b)

then

c)

what-is

d)

what-else

53.

A natural-language processing (NLP) system provides a question-and-answer setting that is particularly useful with _____.

a)

turing machines

b)

simulations

c)

Databases

d)

virtual terminals

54.

Which is true of case-based reasoning (CBR)?

a)

It solves a problem by going through a series of if-then-else rules.

b)

Each problem and its corresponding solution are stored on a global network.

c)

Each case in a database shares a common description and keyword.

d)

It matches a new problem with a previously solved problem and its solution.

55.

In fuzzy logic, a degree of membership indicates _______.

a)

how to solve a problem

b)

whether a series of actions will result in a solution

c)

whether the answer is yes or no

d)

how relevant an item or object is to a set

56.

_____ is designed to help computers simulate vagueness and uncertainty in common situations.

a)

Virtual reality

b)

Nanotechnology

c)

Fuzzy logic

d)

Turing machine

57.

In design and implementation of any _____ reasoning application, there are 4 Rs involved: retrieve, reuse, revise, and retain.

a)

rule-based

b)

adductive

c)

deductive

d)

case-based

58.

The size and complexity of the human language has made developing _____ systems difficult.

a)

natural-language processing

b)

database management

c)

human biometric

d)

virtual-reality language learning

59.

TVs that adjust screen color and texture for each frame and stabilize the volume based on the viewer’s location in the room demonstrates the use of _____.

a)

fuzzy logic

b)

finite automata

c)

artificial neural capabilities

d)

virtual reality simulations

60.

Data-mining agents work with a _____, detecting trends and discovering new information and relationships among data items that were not readily apparent.

a)

data warehouse

b)

knowledge base

c)

data catalog

d)

knowledge hub

61.

In the context of machine learning, an artificial neural network (ANN) is most likely used for:

a)

oil and gas exploration.

b)

portfolio development and analysis.

c)

problems that require the use of if-then-else rules.

d)

supplying explanations for solutions.

62.

Which is true of personal robots?

a)

They have limited mobility.

b)

They have sensory capabilities.

c)

They have no speech capabilities.

d)

They are used mostly in the manufacturing industry.

63.

Learning capabilities can be added to a decision support system (DSS) by integrating it with a(n) _____.

a)

expert system

b)

ANN

c)

database management library

d)

natural-language processing system

64.

Which component of an expert system uses forward and backward chaining to manipulate a series of rules?

a)

An explanation facility

b)

A knowledge base

c)

A user interface

d)

An inference engine

65.

GeneHunter is a hybrid product that combines artificial intelligence (AI) technologies using _____.

a)

natural-language processing

b)

speech systems

c)

genetic algorithms

d)

biometric systems

66.

In the backward chaining technique, used by the inference engine component of an expert system, the expert system starts with the goal, which is the _____ part, and backtracks to find the right solution.

a)

if

b)

Then

c)

else

d)

what-is

67.

Learning takes place within the _____ layer of an artificial neural network.

a)

output

b)

input

c)

Middle

d)

newest