BIS 445 DeVry Week 4 Quiz Latest

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BIS 445 DeVry Week 4 Quiz Latest


BIS 445 DeVry Week 4 Quiz Latest

  1. Question : (TCO 2)Which of the following is a key element in most DSS and a necessity in a model-based DSS?
  • Database
  • Analytical model
  • Modeling
  • Business intelligence

Question 2. Question : (TCO 2) Which of the following techniques is used to solve optimization problems that have few alternatives?

  • Trial-and-error
  • Binary search
  • Expert systems
  • Decision trees

Question 3. Question : (TCO 3) Decision situations are often classified on the basis of what the decision maker knows about the forecasted results. Which of the following is one of the categories?

  • Indecision
  • Firmness
  • Ambiguity
  • Certainty

Question 4. Question : (TCO 2) A model builder makes predictions and assumptions regarding the input data, many of which deal with the assessment of uncertain futures. Which of the following attempts to assess the impact of a change in the input data or parameters on the proposed solution?

  • Mathematical relationships
  • Decision analysis
  • Goal programming
  • Sensitivity analysis

Question 5. Question : (TCO 3) Which of the following calculates the values of the inputs necessary to achieve a desired level of an output?

  • Goal seeking analysis
  • Decision analysis
  • Trial-and-error
  • Sensitivity analysis

Question 6. Question : (TCO 2) Data mining is tightly positioned at the intersection of many disciplines. Those disciplines include all of the following, except:

  • management science.
  • statistics.
  • information systems and databases.
  • logistics.

Question 7. Question : (TCO 3) Which of the following packages are preprogrammed (sometimes called ready-made) models and optimization systems that sometimes serve as building blocks for other quantitative models?

  • Quantitative software
  • Qualitative software
  • Development tool
  • Application

Question 8. Question : (TCO 3) On the commercial side, the most common use of data mining has been in ________ sectors.

  • manufacturing and heath care
  • finance, retail, and health care
  • online retail and government
  • R&D and scientific

Question 9. Question : (TCO 2) What is a major characteristic of data mining?

  • Data mining tools are readily combined with spreadsheets and other software development tools.
  • Because of the large amounts of data and massive search efforts, it is sometimes necessary to use serial processing for data mining.
  • Data are often buried within numerous small and large databases, which sometimes contain data from several years.
  • The miner needs sophisticated programming skills.

Question 10. Question : (TCO 3) Data that has a meaningful, or nonarbitrary, zero point is ________ data.

  • categorical
  • nominal
  • interval
  • ratio

Question 11. Question : (TCO 3) Data mining seeks to identify patterns in the data. All of the following are major types of patterns, except:

  • associations.
  • regression.
  • predictions.
  • clusters.

Question 12. Question : (TCO 3) ________ are, essentially, a hierarchy of if-then statements. They are most appropriate for categorical and interval data.

  • Neural nets
  • Clusters
  • Decision trees
  • Time-series

Question 13. Question : (TCO 2) The simple split methodology splits the data into two mutually exclusive subsets called a ________ set and a ________ set.

  • training; test
  • positive; negative
  • holdout; training
  • matrix; test

Question 14. Question : (TCO 3) A good question to ask with respect to the patterns/relationships that association rule mining can discover is, “Are all association rules interesting and useful?” In order to answer such a question, association rule mining uses two common metrics: ________ and ________.

  • mean; median
  • support; confidence
  • standard deviation; confidence interval
  • regression; distance measure

Question 15. Question : (TCO 3) ________ is a decision making method that analyzes the risk associated with different alternatives.

  • Goal seeking
  • What-if analysis
  • Risk analysis
  • Risk matrix