DSS Mastery Quiz
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Questions and Answers

What are the three basic functions of a DBMS?

  • Storage, manipulation, and control
  • Storage, retrieval, and analysis
  • Storage, retrieval, and control (correct)
  • Storage, manipulation, and analysis

Which type of model supports top management's strategic planning?

  • Strategic models (correct)
  • Tactical models
  • Analytical models
  • Operational models

Who are the intermediaries between the MSS and manager in DSS?

  • Management (users)
  • Staff assistants
  • Line managers
  • Staff (intermediaries) (correct)

What types of decisions are supported by DSS?

<p>Semi-structured and unstructured decisions (B)</p> Signup and view all the answers

What is the purpose of the knowledge base in DSS?

<p>To provide artificial intelligence enhancements (A)</p> Signup and view all the answers

What is the goal of a DSS?

<p>To improve the effectiveness of decision making (A)</p> Signup and view all the answers

Which of the following is NOT a key characteristic of DSS?

<p>Support for only structured situations (D)</p> Signup and view all the answers

What is the role of end-users in building DSS?

<p>End-users can build simple systems (C)</p> Signup and view all the answers

What is the benefit of utilizing models in DSS?

<p>To analyze data and support decision making (B)</p> Signup and view all the answers

What is the role of decision makers in the DSS process?

<p>Decision makers control the decision-making process in DSS (C)</p> Signup and view all the answers

What is the main purpose of the knowledge base in a DSS?

<p>To provide decision makers with relevant information (D)</p> Signup and view all the answers

Which level of management is mainly supported by tactical models in a DSS?

<p>Middle management (D)</p> Signup and view all the answers

What is the role of staff assistants in a DSS?

<p>To act as intermediaries between MSS and manager (B)</p> Signup and view all the answers

What types of decisions are supported by DSS?

<p>Semi-structured and unstructured decisions (B)</p> Signup and view all the answers

What is the main function of a DBMS in a DSS?

<p>To provide storage, retrieval, and control (D)</p> Signup and view all the answers

What are the key characteristics of a Decision Support System?

<p>Utilizes models for analysis (C)</p> Signup and view all the answers

What is the goal of a Decision Support System?

<p>To improve the effectiveness of decision making (D)</p> Signup and view all the answers

What is the role of end-users in building a Decision Support System?

<p>End-users can build simple systems (A)</p> Signup and view all the answers

What types of decisions are supported by a Decision Support System?

<p>A variety of decision-making processes and styles (B)</p> Signup and view all the answers

What is the purpose of providing access to a variety of data sources, formats, and types in a Decision Support System?

<p>To provide access to a variety of data sources, formats, and types (A)</p> Signup and view all the answers

What is MSS Modeling?

<p>A key element in most MSS (A)</p> Signup and view all the answers

What are the major MSS modeling issues?

<p>Problem identification and environmental analysis (B)</p> Signup and view all the answers

What are the categories of MSS modeling?

<p>Problem identification, variable identification, forecasting, multiple models, and model management (D)</p> Signup and view all the answers

What is the main difference between quantitative and non-quantitative models in DSS?

<p>Quantitative models use mathematical links while non-quantitative models capture symbolic relationships (B)</p> Signup and view all the answers

What is the methodology of simulation in DSS?

<p>Test and validate model, conduct experiments, and evaluate results (B)</p> Signup and view all the answers

What are the major characteristics of simulation in DSS?

<p>Simulation captures the richness of reality and is a technique for conducting experiments (A)</p> Signup and view all the answers

What are the types of simulation in DSS?

<p>Stochastic and time-dependent simulation (A)</p> Signup and view all the answers

What is the difference between stochastic and deterministic simulation in DSS?

<p>Stochastic simulation uses discrete or continuous probability distributions while deterministic simulation does not (B)</p> Signup and view all the answers

What is the main difference between optimization via algorithm and optimization via an analytic formula?

<p>Optimization via algorithm finds the best solution from many alternatives using a step-by-step process, while optimization via an analytic formula finds the best solution in one step using a formula. (A)</p> Signup and view all the answers

What is the main difference between heuristics and predictive models?

<p>Heuristics involve finding a good enough solution using common-sense rules, while predictive models involve predicting future occurrences. (B)</p> Signup and view all the answers

What is the main difference between certainty and risk in decision making process?

<p>Certainty assumes complete knowledge, while risk assumes that all potential outcomes are known. (C)</p> Signup and view all the answers

What is the main difference between a static model and a dynamic model?

<p>A static model is a single snapshot of the situation, while a dynamic model evaluates scenarios that change over time. (B)</p> Signup and view all the answers

What are influence diagrams?

<p>Graphical representations of a model that are a framework for expressing MSS model relationships. (A)</p> Signup and view all the answers

Flashcards

DBMS Function

A Database Management System (DBMS) handles storage, retrieval, and control of data in a Decision Support System (DSS).

Strategic Models

Models used by top management to plan the future direction of the organization.

DSS Intermediaries

Staff members act as connectors between the Management Support System (MSS) and the decision-maker (manager) in a DSS.

DSS Decision Types

DSS supports semi-structured and unstructured decisions, requiring a mix of predefined rules and judgment.

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DSS Knowledge Base

Stores relevant data, rules, and knowledge to assist DSS.

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DSS Goal

To improve effectiveness of decision-making by combining data with analytical tools.

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DSS Key Characteristic

DSS use models for analysis; not limited to just structured situations.

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End-User DSS Role

End users can contribute to the construction of simple DSS systems.

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DSS Model Benefit

Models analyze data and assist in making well-informed decisions.

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Decision Maker's DSS Role

The decision-maker manages the decision-making process within a Decision Support System (DSS).

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MSS Modelling

Models and structured analysis are central parts in most Management Support Systems (MSS).

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MSS Modelling Issues

Key matters for MSS modelling include problem identification and environment analysis.

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DSS Modelling Categories

Categorized modelling techniques within a DSS encompass problem identification, variable identification, forecasting, multiple models, and model management.

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Quantitative vs. Non-Quantitative Models

Quantitative models use mathematical/statistical methods; non-quantitative models use symbolic relationships.

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Simulation Methodology

A DSS simulation methodology involves testing and validating the model, conducting experiments to test different factors on a model, and evaluating the results.

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Simulation Characteristics

Simulation in DSS aims to portray real-world complexity and enables experimentation with different scenarios.

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Simulation Types

DSS simulations can be stochastic (probability) or deterministic (fixed or predictable).

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Stochastic vs. Deterministic

Stochastic simulations use probabilities, while deterministic simulations use fixed values.

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Optimization via Algorithm vs. Formula

Algorithm-based optimization finds the best solution iteratively and formula-based optimization finds the best solution directly using a formula.

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Heuristics vs. Predictive Models

Heuristics find good-enough solutions using rules of thumb while predictive models forecast future outcomes.

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Certainty vs. Risk

Certainty assumes complete knowledge of outcomes, risk assumes potential outcomes are known but not definite.

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Static vs. Dynamic Models

Static models present a single point in time, dynamic models examine scenarios over time.

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Influence Diagrams

Graphical representations outlining relationships and dependencies within an MSS model.

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