MIS Final Pt THREE

Which of the following types of business intelligence users is considered a power user?

• IT developers

• Business analysts

• Operational employees

• Senior managers

• Clerical workers

You are the CEO of a national apparel retail chain and want to add three new stores. Which of the following tools will best help you find the most potentially profitable new locations?

• Pivot tables

• Sensitivity analysis

• GIS

• Location analytics

• Intelligent agent

Which of the following statements about neural networks is not true?

• Neural network applications are used to address problems of control and optimization.

• Neural networks are being used to help detect credit card fraud.

• Neural networks are being used to screen patients for coronary artery disease.

• Neural networks are best used as a substitute for human decision makers.

• Neural networks are being used to predict the performance of equities.

All of the following are intelligent agents that are able to respond to human voice commands with useful information in voice or written form except:

• Apple's Siri.

• Microsoft's Cortana.

• Facebook's DeepFace.

• Amazon's Alexa.

• Google Now.

Expert systems:

• solve problems too difficult for human experts.

• are based on DO WHILE rules.

• use rules based on human expertise.

• share characteristics with mainframe computing.

• are a type of machine based intelligence.

Expert systems are used when:

• expertise is in short supply and needs to be captured.

• predictions for the future are required.

• patterns of consumer behavior need to be investigated.

• Big data needs to be analyzed.

• senior managers need reports on overall business performance.

An inference engine is:

• a data mining strategy used by intelligent agents.

• the programming environment of an expert system.

• a method of organizing expert system knowledge into chunks.

• a set of rules used to model human knowledge in an expert system.

• a strategy used to search through the rule base in an expert system.

Virtually all successful expert systems deal with problems of:

• associative data.

• classification.

• logic and control.

• unstructured decision making.

• structured decision making.

______ are designed to have a generalized capability to learn.

• Knowledge-based systems

• Neural networks

• Fuzzy logic systems

• Expert systems

• Genetic algorithms

______ are intelligent techniques that parallel some aspects of the processing patterns of the biological brain.

• Neural networks

• Genetic algorithms

• CBR systems

• Fuzzy logic systems

• Intelligent agents