Question 1 DSS projects succeed more often than they fail or are challenged.
True
False
Question 2 Which of the following is a way to engage users in software development?
Turn off cell phones.
Use prototypes.
Focus on user, not IT problems.
Assign good communicators.
All of these.
Question 3 There are some risks involved in end-user developed DSS, but it is still worth doing because the user understands the problem best of all, and there are ready tools available.
True
False
Question 4 CASE tools are information systems for information systems developers.
True
False
Question 5 Breaking a system into a series of versions that are sequentially developed is called phased development.
True
False
Question 6 Which of the following is a synonym for prototyping?
Iconic design
Iterative design
Extreme design
Andorian design
None of these
Question 7 Project managers must have exceptional technical skills; it is far less important that they be a good project leader.
True
False
Question 8 Lack of commitment from business customers is one of the primary reasons why DSS projects fail.
True
False
Question 9 The waterfall development approach essentially works like water, it only flows downward.
True
False
Question 10 Which of the following is part of the analysis phase of a DSS project?
Database design
User interface design
Process model
Program specifications
All of these.
Question 11 Organizations will typically only use one DSS generator as a means to control costs.
True
False
Question 12 According to the Standish Organization, which of the following is a reason why DSS projects fail:
incomplete requirements.
lack of stakeholder involvement.
lack of sponsor support.
unrealistic expectations.
All of these.
Question 15 The goal of RAD is to deliver functionality quickly.
True
False
Question 14 Which of the following is part of the Design phase?
Design of the physical system
Database design
Interface design
Program design
All of these.
Question 15 Integrated CASE tools are only used in the design and implementation phase.
True
False
Question 16Which model represents scenarios that change over time?
Dynamic models
Static models
Mathematical models
Multidimensional models
Simulation models
Question 17 An object-oriented database management system allows you to analyze data at a conceptual level that emphasizes the natural relationships between objects.
True
False
Question 18 Metadata is:
data about data.
data about transaction processing systems.
irrelevant in data warehouses.
stored only in hierarchical databases.
None of these.
Question 19 What is knowledge?
Knowledge is data that has been organized so that it has meaning.
Knowledge confirms something the recipient knows.
Knowledge conveys understanding, experience, and learning.
Knowledge explains summaries of data.
All of these.
Question 20 A data warehouse is just a large database.
True
False
Question 21 Clustering identifies groups of data that share characteristics.
True
False
Question 22 Data quality is important because it can affect the quality of organizational decisions.
True
False
Question 23 Which of the following is a data quality problem?
Data is not indexed properly.
Data is not correct.
Data does not exist.
Data is not timely.
All of these.
Question 24 There is a temporal quality to data warehouses.
True
False
Question 25 Data, information, and knowledge are essentially the same thing.
True
False
Question 26
A star schema begins with a central dimension table that is linked to one or more fact tables.
True
False
Question 27 Data warehouses can be tuned for access since they are nonvolatile.
True
False
Question 28 Facts in a fact table are:
used for decision analysis.
used as foreign keys to dimension tables.
descriptive attributes for query reporting.
performance metrics.
All of these.
Question 29 Data quality and data integrity are essentially the same thing.
True
False
Question 30 In many ways setting up a data warehouse is like setting up a separate database for DSS.
True
False
Question 31 Intrinsic data quality refers to the ease of understanding or interpretability of data.
True
False
Question 32 A data mart is like a data warehouse for a single department.
True
False
Question 33 Which of the following is a risk of user-developed DSS?
Takes too long
Use of substandard tools
Difficulties of implementation
Shorter development times
All of these.
Question 34 Prototyping helps both the decision-makers and DSS developers learn about decision-making.
True
False
Question 35 The prototype evolves into the developed system.
True
False
Question 36 Answer for remaining question
Correct answers are marked with yellow
Question 37 The types of decision-making situations that may require analysis (in order of increasing complexity) are certainty, risk, and uncertainty.
True
False