Q1. Expected values are computed by multiplying:
a. the largest expected results by their probability. b. all results by their probabilities, then summing them up. c. all results by their probabilities, then selecting the best. d. all probabilities by their expected results. e. all expected results by their probabilities.
Q2. Long-range planning would be considered to be a ________ model.
a. dynamic b. static c. mathematical d. multidimensional e. simulation
Q3. Linear programming involves experimenting on a model of a system.
a. true b. false
Q4. Models can be classified as static, dynamic, or both.
a. true b. false
Q5. A DSS is designed to determine what will be; an MIS is designed to report what was.
a. true b. false
Q6. Sensitivity analysis attempts to assess the impact of a change in the input data on the proposed solution.
a. true b. false
Q7. Static models represent scenarios or trends over time.
a. true b. false
Q8. Simulation involves experimenting on a model of a system.
a. true b. false
Q9. Decision-making under certainty is always easy to solve.
a. true b. false
Q10. Spreadsheet software, such as Microsoft Excel is capable of performing both what-if and goal seeking analysis.
a. true b. false
Q11. The decision-maker's attitude toward risk can change the outcome of a situation involving risk.
a. true b. false
Q12. Which model is designed to find the best solution from a large number of possible alternatives using a step-by-step process?
a. Decision trees b. Markov analysis c. Linear programming d. Heuristic programming e. Simulation
Q13. Influence diagrams can be constructed with varying degrees of detail.
a. true b. false
Q14. Decision tables work best for multiple-goal problems.
a. true b. false
Q15. Goal seeking analysis is effective in determining the level of input needed to achieve a desired result.
a. true b. false
Q16. The types of decision-making situations that may require analysis (in order of increasing complexity) are certainty, risk, and uncertainty.
a. true b. false
Q17. The highest level of detail supported by a data warehouse is its grain.
a. true b. false
Q18. Information is organized data.
a. true b. false
Q19. Knowledge consists of data items and/or information organized and processed to convey understanding, experience, accumulated learning, and expertise as they apply to a current problem or activity.
a. true b. false
Q20. There is a temporal quality to data warehouses.
a. true b. false
Q21. In a data warehouse, data are organized by:
a. time. b. subject. c. source system. d. degree of volatility. e. size.
Q22. In many ways setting up a data warehouse is like setting up a separate database for DSS.
a. true b. false
Q23. Business dashboards provide real-time views of data
a. true b. false
Q24. Sophisticated data mining systems can automatically discover knowledge in data warehouses by finding relationships that are hidden within the data.
a. true b. false
Q25. Data, information, and knowledge are essentially the same thing.
a. true b. false
Q26. When the Comptrollers office access data from the marketing department they are using external data because it comes from a source outside their department.
a. true b. false
Q27. A star schema begins with a central dimension table that is linked to one or more fact tables.
a. true b. false
Q28. Data quality is important because it can affect the quality of organizational decisions.
a. true b. false
Q29. Data quality and data integrity are essentially the same thing.
a. true b. false
Q30. The two most common data warehouse architectures are three-tiered and four-tiered.
a. true b. false
Q31. The relational model is one of the best database models.
a. true b. false
Q32. Intrinsic data quality refers to the ease of understanding or interpretability of data.
a. true b. false
Q33. Integrated CASE tools are only used in the design and implementation phase.
a. true b. false
Q34. Determining the viability of an idea is completed as part of the analysis phase.
a. true b. false
Q35. Staffing the DSS project is completed after analysis has been completed.
a. true b. false
Q36. The Lewin-Schein change theory is only useful for introducing departmental change to an organization.
a. true b. false
Q37. Prototyping is also referred to as iterative design.
a. true b. false
Q38. Prototyping is the single best DSS development methodology.
a. true b. false
Q39. The waterfall development approach essentially works like water, it only flows downward.
a. true b. false
Q40. User-developed DSS and end-user computing are essentially the same thing.
a. true b. false
Q41. Organizations will typically only use one DSS generator as a means to control costs.
a. true b. false
Q42. Prototyping is a form of rapid application development.
a. true b. false
Q43. CASE tools consist of lower CASE, upper CASE and mixed CASE.
a. true b. false
Q44. Project managers must have exceptional technical skills; it is far less important that they be a good project leader.
a. true b. false
Q45. The prototype evolves into the developed system.
a. true b. false
Q46. Case tools that assist in the analysis phase are called lower CASE.
a. true b. false
Q47. Lack of commitment from business customers is one of the primary reasons why DSS projects fail.
a. true b. false
Q48. Prototyping is the only adaptation of the SDLC.
a. true b. false
Q49. The goal of RAD is to deliver functionality quickly.
a. true b. false
Q50. One of the goals of a CASE tool is to provide a logical consistency to system documentation.
a. true b. false