Question 1

The volume of big data allows the simulation modeler to use larger datasets to better define statistical distributions.

Accepted Answer

A) True 
 B)False  True

Question 2

Which of the following can be a source of input data for a simulation model?

Accepted Answer

A)  Historical records 
B)  Observations 
C)  Interviews 
D)  All of the above 
A)  Historical records 
B)  Observations 
C)  Interviews 
D)  All of the above D

Question 3

A queuing model with random arrivals and random processing times is a deterministic and dynamic model.

Accepted Answer

A) True 
 B)False  False

Question 4

A static simulation model represents the system over a period of time.

Accepted Answer

A) True 
 B)False

Question 5

Which of the following is an important part of the business description?

Accepted Answer

A)  Establishing the purpose and scope of the simulation model 
B)  Analyzing the results and generating recommendations 
C)  Designing alternative scenarios 
D)  All of the above 
A)  Establishing the purpose and scope of the simulation model 
B)  Analyzing the results and generating recommendations 
C)  Designing alternative scenarios 
D)  All of the above

Question 6

A system is a collection of entities and sub-entities that:

Accepted Answer

A)  Interact with each other. 
B)  Use resources to transform input into output. 
C)  Generate information and data for further analysis. 
D)  All of the above 
A)  Interact with each other. 
B)  Use resources to transform input into output. 
C)  Generate information and data for further analysis. 
D)  All of the above

Question 7

Simulation models can become a powerful tool for decision makers when:

Accepted Answer

A)  Business systems are complex. 
B)  Business systems are simple. 
C)  The goal is to reach the optimal solution. 
D)  All of the above 
A)  Business systems are complex. 
B)  Business systems are simple. 
C)  The goal is to reach the optimal solution. 
D)  All of the above

Question 8

The purpose of pilot runs in a simulation model is to generate enough solutions to perform model validation and verification.

Accepted Answer

A) True 
 B)False

Question 9

The decision maker must ensure that input variables are:

Accepted Answer

A)  Dependent. 
B)  Homogenized. 
C)  Heterogenic. 
D)  All of the above 
A)  Dependent. 
B)  Homogenized. 
C)  Heterogenic. 
D)  All of the above

Question 10

Which of the following is a step in the simulation methodology?

Accepted Answer

A)  Describing the problem in order to understand the business model 
B)  Designing a conceptual model 
C)  Collecting data 
D)  All of the above 
A)  Describing the problem in order to understand the business model 
B)  Designing a conceptual model 
C)  Collecting data 
D)  All of the above

Question 11

The practicality of the simulation methodology is based on its ability to achieve optimal solutions.

Accepted Answer

A) True 
 B)False

Question 12

Big Data poses challenges when applied to simulation models, mostly due to the dimension(s) of:

Accepted Answer

A)  Volume. 
B)  Veracity. 
C)  Variety. 
D)  All of the above 
A)  Volume. 
B)  Veracity. 
C)  Variety. 
D)  All of the above

Question 13

During analysis in simulation methodology, the decision maker can perform:

Accepted Answer

A)  Descriptive statistics such as points and estimates. 
B)  Hypothesis testing. 
C)  Risk analysis. 
D)  All of the above 
A)  Descriptive statistics such as points and estimates. 
B)  Hypothesis testing. 
C)  Risk analysis. 
D)  All of the above

Question 14

A simulation model is continuous has variables whose state:

Accepted Answer

A)  Does not change overtime. 
B)  Changes at discrete points in time. 
C)  Changes continuously. 
D)  All of the above 
A)  Does not change overtime. 
B)  Changes at discrete points in time. 
C)  Changes continuously. 
D)  All of the above

Question 15

Which of the following is a goal of the conceptual design stage of the simulation methodology?

Accepted Answer

A)  Identifying the information needed to build the simulation model 
B)  Identifying the information already available to build the simulation model 
C)  Identifying the information that needs to be collected to build the simulation model 
D)  All of the above 
A)  Identifying the information needed to build the simulation model 
B)  Identifying the information already available to build the simulation model 
C)  Identifying the information that needs to be collected to build the simulation model 
D)  All of the above

Question 16

A stochastic model represents the system over a period of time.

Accepted Answer

A) True 
 B)False

Question 17

The simulation modeler must perform a pilot run in order to compare the performance of the model with the performance of the system being simulated.

Accepted Answer

A) True 
 B)False

Question 18

Which of the following is not a basic element of a simulation model?

Accepted Answer

A)  Entity 
B)  Location 
C)  Speed 
D)  Process flow 
E)  Resource 
A)  Entity 
B)  Location 
C)  Speed 
D)  Process flow 
E)  Resource

Question 19

The state of the system is the set of variables necessary for describing the system and its values at a given point during a simulation run.

Accepted Answer

A) True 
 B)False

Question 20

A deterministic simulation model represents the system over a period of time.

Accepted Answer

A) True 
 B)False

The volume of big data allows the simulation modeler to use larger datasets to better define statistical distributions.

Which of the following can be a source of input data for a simulation model?

A queuing model with random arrivals and random processing times is a deterministic and dynamic model.

A static simulation model represents the system over a period of time.

Which of the following is an important part of the business description?

A system is a collection of entities and sub-entities that:

Simulation models can become a powerful tool for decision makers when:

The purpose of pilot runs in a simulation model is to generate enough solutions to perform model validation and verification.

The decision maker must ensure that input variables are:

Which of the following is a step in the simulation methodology?

The practicality of the simulation methodology is based on its ability to achieve optimal solutions.

Big Data poses challenges when applied to simulation models, mostly due to the dimension(s) of:

During analysis in simulation methodology, the decision maker can perform:

A simulation model is continuous has variables whose state:

Which of the following is a goal of the conceptual design stage of the simulation methodology?

A stochastic model represents the system over a period of time.

The simulation modeler must perform a pilot run in order to compare the performance of the model with the performance of the system being simulated.

Which of the following is not a basic element of a simulation model?

The state of the system is the set of variables necessary for describing the system and its values at a given point during a simulation run.

A deterministic simulation model represents the system over a period of time.

Business Analytics With Management Science

Introduction to Linear Programming

Business Analytics With Linear Programming

Business Analytics With Nonlinear Programming

Business Analytics With Goal Programming

Business Analytics With Integer Programming

Business Analytics With Shipment Models

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Exam 10: Business Analytics With Simulation

The volume of big data allows the simulation modeler to use larger datasets to better define statistical distributions.

Which of the following can be a source of input data for a simulation model?

A queuing model with random arrivals and random processing times is a deterministic and dynamic model.

A static simulation model represents the system over a period of time.

Which of the following is an important part of the business description?

A system is a collection of entities and sub-entities that:

Simulation models can become a powerful tool for decision makers when:

The purpose of pilot runs in a simulation model is to generate enough solutions to perform model validation and verification.

The decision maker must ensure that input variables are:

Which of the following is a step in the simulation methodology?

The practicality of the simulation methodology is based on its ability to achieve optimal solutions.

Big Data poses challenges when applied to simulation models, mostly due to the dimension(s) of:

During analysis in simulation methodology, the decision maker can perform:

A simulation model is continuous has variables whose state:

Which of the following is a goal of the conceptual design stage of the simulation methodology?

A stochastic model represents the system over a period of time.

The simulation modeler must perform a pilot run in order to compare the performance of the model with the performance of the system being simulated.

Which of the following is not a basic element of a simulation model?

The state of the system is the set of variables necessary for describing the system and its values at a given point during a simulation run.

A deterministic simulation model represents the system over a period of time.

Business Analytics With Management Science

Introduction to Linear Programming

Business Analytics With Linear Programming

Business Analytics With Nonlinear Programming

Business Analytics With Goal Programming

Business Analytics With Integer Programming

Business Analytics With Shipment Models

Marketing Analytics With Linear Programming

Marketing Analytics With Multiple Goals

Filters