Scripting-and-Programming-Foundations Exam Dumps - WGU NDE Questions and Answers

Comprehensive and Detailed Explanation From Exact Extract:

The tasks described involve creating a technical plan (listing objects and functions) and coding (writing the objects). According to foundational programming principles and Agile methodologies, these correspond to the design phase (planning the structure) and the implementation phase (coding).

Agile Phases Analysis:

Analysis: Defines requirements (e.g., “the game must support players and moves”).

Design: Specifies technical components (e.g., objects like Player, Board, and functions like makeMove()).

Implementation: Writes the code for the specified components.

Testing: Verifies the code works as intended.

Tasks Breakdown:

Creating a list of objects and functions: This is a design task, as it involves planning the program’s structure (e.g., class diagrams or function signatures).

Writing the code for each object: This is an implementation task, as it involves coding the objects (e.g., implementing the Player class).

Option A: "Analysis and design." This is incorrect. Analysis defines high-level requirements, not the specific objects and functions, which are part of design.

Option B: "Design and implementation." This is correct. Designing the list of objects and functions occurs in the design phase, and writing their code occurs in the implementation phase.

Option C: "Analysis and implementation." This is incorrect. Analysis does not involve listing technical components like objects and functions.

Option D: "Design and testing." This is incorrect. Testing verifies the coded objects, not the act of creating their list or writing their code.

Certiport Scripting and Programming Foundations Study Guide (Section on Agile Phases).

Sommerville, I., Software Engineering, 10th Edition (Chapter 4: Agile Software Development).

Agile Alliance: “Design and Implementation” (https://www.agilealliance.org/glossary/design/).

C, C++, and Java are all considered compiled languages. This means that the code written in these languages is not executed directly by the hardware but must first be translated into machine code by a compiler.

C is a general-purpose programming language that is compiled to generate machine code which can be executed directly by the computer’s CPU1.

C++ is an extension of C that includes object-oriented features. It is also a compiled language, where the source code is converted into machine code that can be executed by the CPU2.

Java is a bit unique because it is compiled into bytecode, which is then run on a virtual machine (JVM) rather than directly by the CPU. However, it is still considered a compiled language because the source code is compiled before it is executed2.

The expression given is ( x + y^{12} ), with ( x = 12 ) and ( y = 4 ). To evaluate this expression, we substitute the values of ( x ) and ( y ) into the expression:

( x + y^{12} = 12 + 4^{12} )

Since ( 4^{12} ) is a very large number, the significant value in this expression comes from ( 4^{12} ), and the addition of 12 does not change the order of magnitude of the result. Therefore, the value of ( x + y^{12} ) is much greater than the options provided (A. 6, B. 8, C. 14). It seems there might be a typo in the expression or the options provided. If the expression was meant to be ( x + y \times 12 ), then the answer would be:

( x + y \times 12 = 12 + 4 \times 12 = 12 + 48 = 60 )

However, since this option is not available, and based on the provided options, the closest correct answer, assuming the expression is ( x + y ), would be:

( x + y = 12 + 4 = 16 )

But since 16 is not an option, and without further context, the best match from the given options would be C. 14, even though it is not the exact answer.

Comprehensive and Detailed Explanation From Exact Extract:

The Waterfall methodology is a linear, sequential approach with phases including requirements analysis, design, implementation, testing, and maintenance. According to foundational programming principles (e.g., Certiport Scripting and Programming Foundations Study Guide), the design phase is where the specifics of how to build the program are defined, including system architecture, modules, and technical specifications.

Waterfall Phases Overview:

Analysis: Defines what the program should do (requirements, e.g., user needs or system goals).

Design: Defines how the program will be built (e.g., architecture, data models, function specifications).

Implementation: Writes the code based on the design.

Testing: Verifies the program meets requirements.

Option A: "Design." This is correct. The design phase produces detailed plans, such as system architecture, database schemas, and function or object specifications, outlining how the program will be constructed. For example, it might specify a function like calculateScore() or a class like User.

Option B: "Testing." This is incorrect. Testing verifies the implemented program, not the planning of how to build it.

Option C: "Analysis." This is incorrect. Analysis focuses on gathering requirements (what the program should do), not technical specifics of implementation.

Option D: "Implementation." This is incorrect. Implementation involves coding the program based on the design’s specifics, not defining them.

Certiport Scripting and Programming Foundations Study Guide (Section on Waterfall Methodology).

Sommerville, I., Software Engineering, 10th Edition (Chapter 2: Waterfall Model).

Pressman, R.S., Software Engineering: A Practitioner’s Approach, 8th Edition (Waterfall Design Phase).

Initialize two variables: x and Count to zero.

Iterate through each number in the NumList.

For each number in the list:

Add the number to x.

Increment Count by one.

After processing all numbers in the list, calculate the average:

Average = x / Count.

The NumList contains the following integers: [1, 3, 5, 6, 7, 8].

Calculating the average: (1 + 3 + 5 + 6 + 7 + 8) / 6 = 30 / 6 = 5.0.

However, none of the provided options match this result. It seems there might be an error in either the options or the calculation.

 Behavioral diagrams are a key component in software engineering, particularly within the Unified Modeling Language (UML), which is used to model the dynamic aspects of systems. These diagrams help visualize the behavior of a system over time, including how it responds to various stimuli and the state changes it undergoes during its operation.

The types of behavioral diagrams include:

State Machine Diagrams: These show the state of a system or component at finite instances of time, focusing on state transitions in response to events.

Activity Diagrams: These illustrate the flow of control in a system, modeling both sequential and concurrent activities.

Use Case Diagrams: These depict the functionality of a system and its interaction with external agents.

Sequence Diagrams: These detail the interactions between objects in a sequential order, showing the order of operations.

Communication Diagrams: These show the sequenced messages exchanged between objects.

In the context of the provided image, a behavioral diagram would generally be used to visualize option D, the dynamic flow of software, as it captures the interactions, events, and states that occur within a system during its execution12345.

In the context of writing a function that determines whether a given number N is even or odd, the input to the function should be the number itself, represented by the variable N. The function will then perform the necessary logic to determine whether N is even or odd and return the appropriate value (0 for even, 1 for odd).

Here’s how the function might look in Python:

Python

def check_even_odd(N):

"""

Determines whether a given number N is even or odd.

Args:

N (int): The input number.

Returns:

int: 0 if N is even, 1 if N is odd.

"""

if N % 2 == 0:

return 0 # N is even

else:

return 1 # N is odd

# Example usage:

number_to_check = 7

result = check_even_odd(number_to_check)

print(f"The result for {number_to_check} is: {result}")

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In this example, if number_to_check is 7, the function will return 1 because 7 is an odd number.

Comprehensive and Detailed Explanation From Exact Extract:

A function that calculates the average of two numbers (x and y) needs to take those numbers as inputs (parameters) and return their average as the output. According to foundational programming principles (e.g., Certiport Scripting and Programming Foundations Study Guide), functions should accept necessary inputs and return computed results, avoiding unnecessary parameters or outputs.

Option A: "Parameters: x, y, average; Return value: none." This is incorrect. Including average as a parameter is unnecessary since it is the result to be computed. A function with no return value (void in C) would not provide the average to the caller, which defeats the purpose.

Option B: "Parameters: x, y; Return value: average." This is correct. The function needs x and y as inputs to compute (x + y) / 2. The average is returned to the caller. For example, in Python: def average(x, y): return (x + y) / 2.

Option C: "Parameters: none; Return values: x, y." This is incorrect. Without parameters, the function cannot access x and y to compute the average. Returning x and y is irrelevant to the task.

Option D: "Parameters: average; Return values: x, y." This is incorrect. average is the output, not an input, and returning x and y does not provide the computed average.

Certiport Scripting and Programming Foundations Study Guide (Section on Functions).

Python Documentation: “Defining Functions” (https://docs.python.org/3/tutorial/controlflow.html#defining-functions).

W3Schools: “C Functions” (https://www.w3schools.com/c/c_functions.php).

Space complexity refers to the amount of memory space required by an algorithm in relation to the size of the input data. It is a function, often denoted as S(N), that represents the number of fixed-size memory units used by the algorithm for an input of size N. For example, if an algorithm needs to create a new array that is the same size as the input array, its space complexity would be linear, or O(N), where N is the size of the input array. This term is crucial in evaluating the efficiency of an algorithm, especially when working with large data sets or in systems with limited memory resources.

The scenario describes conditional logic where service fees depend on these factors:

Printing: There seems to be a base service fee whenever tickets are printed.

Mailing: An additional fee applies if tickets are printed and mailed.

The most suitable way to model this logic is using multiple if statements:

First if: Checks if tickets are printed. If so, add the base printing fee.

Second if (nested): Checks if tickets are mailed (and by implication, already printed). If so, add the mailing fee.