Simulation - Exam
  • 1. Simulation is the imitation of the operation of a real-world process or system over time. It involves creating a computer model that represents the key characteristics and behaviors of the actual system. By running simulations, we can analyze and predict the behavior of the system under different conditions, without the need to conduct expensive or risky experiments in the real world. Simulations are used in various fields, including science, engineering, economics, and entertainment, to study complex systems, test hypotheses, optimize processes, and train individuals in a safe and controlled environment.

    What is simulation?
A) A random set of data points.
B) A representation of a real-world system or process.
C) A physical prototype used for testing.
D) A mathematical equation with multiple variables.
  • 2. What is the purpose of simulation?
A) To test physical prototypes in a production environment.
B) To generate random numbers for statistical analysis.
C) To create artistic visual effects.
D) To analyze and understand the behavior of a system.
  • 3. Which industry commonly uses simulation techniques?
A) Music
B) Manufacturing
C) Culinary
D) Fashion
  • 4. What is a sensitivity analysis in simulation?
A) Analyzing model behavior over time.
B) Creating a detailed visual representation of the simulation process.
C) Testing the accuracy of simulation software.
D) Evaluating how changes in model input parameters affect the output.
  • 5. Which type of simulation is used to model physical systems over time?
A) Audio simulation
B) Static simulation
C) Visual simulation
D) Dynamic simulation
  • 6. What is agent-based modeling in simulation?
A) Modeling only the aggregate system behavior.
B) Modeling static objects without any movement.
C) Modeling environmental changes over time.
D) Modeling individual entities with their own behavior and interactions.
  • 7. Which software is commonly used for simulation modeling?
A) Google Chrome
B) AnyLogic
C) Adobe Photoshop
D) Microsoft Excel
  • 8. What is model verification in simulation?
A) Ignoring discrepancies between the model and real-world data.
B) Running the simulation without any errors during execution.
C) Ensuring that the simulation model correctly represents the logic of the system.
D) Modifying the model to fit the desired outcome.
  • 9. In simulation, what does calibration refer to?
A) Measuring the computational efficiency of the simulation.
B) Adjusting the model to match real-world data or observations.
C) Creating a model from scratch.
D) Running the model multiple times in a simulation.
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