MIS 111 Study Guide - Final Guide: Decision Support System, Data Cube, Tacit Knowledge
1 Oct 2018
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Spring 2016 MIS 111 – In-class Exam 3 Page 1 of 10
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Time allowed: 60 minutes
Exam content: This exam covers all material covered in the lectures and
assignments from Class 21 to Class 27.
Exam questions: All questions are worth 4 (four) points (200 points, total)
Instructions:
This exam is closed book, closed notes, closed electronics (this includes laptops,
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When correcting an error on your Scantron form, be sure that your incorrect
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answers coded on your Scantron form will be considered in calculating your score.
There is no penalty for wrong answers, so you should answer all questions.
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All contents copyright © 2016. Arizona Board of Regents.
Copyright of this MIS 111 Exam is owned by Arizona Board of Regents on behalf of The
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Please do not make any marks on your test booklet
Spring 2016 MIS 111 – In-class Exam 3 Page 2 of 10
BEFORE YOU BEGIN THE EXAM, VERIFY THAT YOUR EXAM HAS
TEN (10) PAGES AND THAT YOU CAN READ ALL 50 QUESTIONS.
1. A graphical description of a database that describes the way in which an organization’s data
and business activities are associated with one another is known as _______________:
A. A Model of Efficiency
B. An Entity Relationship Diagram **
C. An Enterprise Resource Design
D. A Throughput Analysis
E. An Artificial Database Scheme
2. In a relational database, what term refers to the collection of items that are all related to a
single unique value, where the single value often serves as the primary key?
A. A field
B. A form
C. A record **
D. A list
E. A deposit
3. What type of data mining analysis identifies patterns in the data based on geographic
(physical) or temporal (time) proximity?
A. Classification
B. Clustering **
C. Association
D. Sequencing
E. Forecasting
4. Subjective knowledge that is based an individual’s experiences is known as what?
A. Refined knowledge
B. Tacit knowledge **
C. Technical knowledge
D. Explicit knowledge
E. Procedural knowledge
5. What type of data structure allows us to organize multi-dimensional information from a data
warehouse so that it can be viewed using different data abstractions (or projections)?
A. Neural network
B. Click stream
C. Data cube **
D. Executive dashboard
E. Decision support system
6. The terms “contextual,” “relevant,” and “actionable” are commonly related to what term?
A. Information
B. Knowledge **
C. Repository
D. Alignment
E. Relationship
Please do not make any marks on your test booklet
Spring 2016 MIS 111 – In-class Exam 3 Page 3 of 10
7. Maintaining multiple copies of the same data in multiple information systems that can be
independently updated commonly results in what information management problem?
A. Data isolation
B. Data inconsistency **
C. Data devaluation
D. Data compression
E. Data validation
8. The characteristics of big data (data science) are described as being related to volume (of the
information), velocity (speed at which information is collected), and what other characteristic?
A. Variety (integrating data from multiples sources) **
B. Vagueness (using data without a clear definition)
C. Valuation (using data that has significant economic value)
D. Visual (using data that can be displayed graphically)
E. Vertical (using data related only to one market)
9. With respect to a database, what term is used to describe an abstract representation of all of
the information included in a data structure about a particular type of entity?
A. Entity Attribute
B. Entity Class **
C. Entity Key
D. Entity Model
E. Entity Table
10. The task of brainstorming in a group decision support system is similar to what step in the
knowledge management cycle?
A. Disseminate
B. Publish
C. Refine
D. Store
E. Create **
11. The sequence of activities performed by users of GroupSystems’ ThinkTank product directly
parallel the steps in what other business process?
A. Transaction processing system
B. Operational CRM
C. Knowledge management cycle **
D. Economic globalization
E. Just-in-time Inventory Management
12. Concerns over discrimination, data contamination, and intellectual property (ownership of
information) were legal and ethical issues discussed in relation to what topic?
A. Telemedicine
B. Crowdsourcing
C. Click-stream analysis
D. Data mining **
E. Project management
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