Scripting-and-Programming-Foundations WGU Scripting and Programming Foundations Exam Free Practice Exam Questions (2025 Updated)

Comprehensive and Detailed Explanation From Exact Extract:

An integer data type is used for whole numbers without fractional parts. According to foundational programming principles, values that represent counts or discrete quantities typically use integers, while values with decimal points or fractional components use floating-point types.

Option A: "The cost of a dinner including tax and tip." This is incorrect. Costs typically involve decimal values (e.g., $24.99), requiring a floating-point type (e.g., float or double) to handle cents.

Option B:: "An approximation of the number pi to five decimal places." This is incorrect. Pi approximated to five decimal places (e.g., 3.14159) is a decimal number, requiring a floating-point type, not an integer.

Option C: "The weights of every patient involved in a pharmaceutical trial." This is incorrect. Weights (e.g., 70.5 kg) typically include decimal points for precision, requiring a floating-point type.

Option D: "The number of students in a section." This is correct. The number of students is a whole number (e.g., 25), which is represented by an integer data type (e.g., int in C or Python).

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

Python Documentation: “Built-in Types” (https://docs.python.org/3/library/stdtypes.html).

W3Schools: “C Data Types” (https://www.w3schools.com/c/c_data_types.php).

Comprehensive and Detailed Explanation From Exact Extract:

Determining the mathematical operations (e.g., addition, subtraction, multiplication) for a calculator program involves defining what the program should do (requirements) and planning how to achieve it (technical specifications). According to foundational programming principles, this spans the analysis and design phases in the Waterfall methodology.

Waterfall Phases Analysis:

Analysis: The developer identifies the requirements, such as which operations the calculator must support (e.g., “must perform addition, subtraction, etc.”).

Design: The developer specifies how these operations will be implemented (e.g., defining functions like add(), subtract(), or their algorithms).

Implementation: Codes the operations.

Testing: Verifies the operations work correctly.

Option A: "Analysis and design." This is correct. Analysis determines the operations needed (requirements), and design outlines their technical specifications (e.g., function signatures or algorithms).

Option B: "Design and implementation." This is incorrect. Implementation involves coding the operations, not determining which operations are needed.

Option C: "Implementation and testing." This is incorrect. These phases occur after the operations are determined, focusing on coding and verification.

Option D: "Design and testing." This is incorrect. Testing verifies the implemented operations, not their determination.

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

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

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

 In programming, a string is used to store sequences of characters, which can include letters, numbers, symbols, and spaces. Strings are typically utilized to store textual data, such as words and sentences12. For example, the word “positive” would be stored as a string. While strings can contain numbers, they are not used to store numbers in their numeric form but rather as text. Therefore, options A, C, and D, which involve numbers or boolean values, would not be stored as strings unless they are meant to be treated as text.

The language described in the question exhibits characteristics of an interpreted, object-oriented, and dynamic language. Here’s why these terms apply:

Interpreted: The program can run on various operating systems without re-compilation, which is a trait of interpreted languages. Interpreted languages are executed line by line by an interpreter at runtime, rather than being compiled into machine code beforehand123.

Object-oriented: The use of concepts like information hiding, data abstraction, encapsulation, polymorphism, and inheritance are hallmarks of object-oriented programming (OOP). OOP languages are designed around objects and classes, which allow for modular, reusable, and organized code456.

Dynamic: Variables in the program do not need to have their types declared ahead of time, indicating dynamic typing. In dynamically typed languages, type checking is performed at runtime, and variables can be assigned to different types of data over their lifetime7891011.

 Dijkstra’s shortest path algorithm is designed to find the shortest path between nodes in a graph. This can be applied to various scenarios, such as routing problems, network optimization, and in this case, determining the most fuel-efficient flight plan. The algorithm works by iteratively selecting the unvisited vertex with the smallest tentative distance from the source, then visiting the neighbors of this vertex and updating their tentative distances if a shorter path is found. This process continues until the destination vertex is reached or all reachable vertices have been visited.

In the context of the given options, Dijkstra’s algorithm is best suited for option B, where the goal is to find the most fuel-efficient path (i.e., the shortest path) between multiple points (coordinates of five positions). The algorithm is not designed to solve problems like searching for an element in an array (option A), finding the longest common subsequence (option C), or searching for a name in a list (option D).

Comprehensive and Detailed Explanation From Exact Extract:

A loop variable update statement changes the value of the loop variable to progress the loop toward termination. In a while loop, this typically occurs within the loop body. According to foundational programming principles, the update statement modifies the loop control variable (here, h).

Code Analysis:

integer h = 7: Initializes h (not an update).

while h < 30: Loop condition (not an update).

Put h to output: Outputs h (not an update).

h = h + 2: Updates h by adding 2, progressing the loop.

Option A: "h < 30." Incorrect. This is the loop condition, not an update.

Option B: "h = h + 2." Correct. This statement updates the loop variable h, incrementing it by 2 each iteration.

Option C: "Put h to output." Incorrect. This is an output statement, not an update.

Option D: "integer h = 7." Incorrect. This is the initialization, not an update.

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

Python Documentation: “While Statements” (https://docs.python.org/3/reference/compound_stmts.html#while).

W3Schools: “C While Loop” (https://www.w3schools.com/c/c_while_loop.php).

Safety and proper procedure are paramount when replacing a light bulb to avoid any electrical hazards or injuries. First, always ensure the lamp is turned off to prevent electrical shock. Next, carefully unscrew the broken or burnt-out bulb from the socket; it might be hot, so caution is advised. After removing the old bulb, screw in the new working bulb securely but without overtightening to avoid damaging the bulb or socket. Finally, turn the lamp on to verify that the new bulb is functioning properly.

References The answer and explanation are based on general knowledge and common safety practices for handling electrical appliances; specific documents or standards on Scripting and Programming Foundations are not applicable here.

The image displays multiple-choice options for ordering tasks needed to safely replace a lamp’s light bulb, providing an interactive learning method for understanding safety procedures in handling electrical items.

 When calling a function in Python, you simply give the name of the function followed by parentheses. Even if the function doesn’t take any arguments, you still need to include the parentheses. For example, print("Hello!") is a function call. The function name should describe what it’s supposed to do. Function definitions begin with the def keyword, followed by the function name and parameters (if any). The statements within the function definition are indented and carry out the task the function is supposed to perform2. References:

Function Calls and Definitions – Real Python

Function Calls | Microsoft Learn

Stack Overflow: Find all function calls by a function

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.

Comprehensive and Detailed Explanation From Exact Extract:

The algorithm calculates the average of the numbers in NumList by summing them and dividing by the count. According to foundational programming principles, we trace the execution step-by-step.

Initial State:

NumList = [1, 3, 6, 6, 7, 3].

x = 0 (sum accumulator).

Count = 0 (counter).

Loop Execution:

For each Number in NumList:

x = x + Number (add number to sum).

Count = Count + 1 (increment counter).

Iterations:

Number = 1: x = 0 + 1 = 1, Count = 0 + 1 = 1.

Number = 3: x = 1 + 3 = 4, Count = 1 + 1 = 2.

Number = 6: x = 4 + 6 = 10, Count = 2 + 1 = 3.

Number = 6: x = 10 + 6 = 16, Count = 3 + 1 = 4.

Number = 7: x = 16 + 7 = 23, Count = 4 + 1 = 5.

Number = 3: x = 23 + 3 = 26, Count = 5 + 1 = 6.

Post-Loop:

x = x / Count = 26 / 6 = 4.333....

Round to nearest tenth: 4.333... ≈ 4.3 (not listed, see note).

Output: Put x to output.

Note: The expected output should be 4.3, but the closest option is 5.0, suggesting a possible error in the options or a different interpretation. Let’s verify:

Sum = 1 + 3 + 6 + 6 + 7 + 3 = 26.

Count = 6.

Average = 26 / 6 = 4.333... ≈ 4.3.

Since 4.3 is not an option, I re-evaluate the options. Option A (5.0) is the closest whole number, but this may indicate a typo in the problem (e.g., different NumList or no rounding). Assuming the intent is to select the closest, 5.0 is chosen tentatively.

Answer (Tentative): A (with note that 4.3 is the actual result, suggesting a possible error in options).

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

Python Documentation: “For Loops” (https://docs.python.org/3/tutorial/controlflow.html#for-statements).

W3Schools: “Python Loops” (https://www.w3schools.com/python/python_for_loops.asp).

 The algorithm’s success depends on the correct sequence of steps. The steps should first declare the variable Diff before attempting to use it in calculations. If the declaration of Diff (step 4) is not done prior to its use (step 1), the algorithm will attempt to use an undeclared variable, which will result in an error. Therefore, switching steps 1 and 4 ensures that Diff is declared before any operations are performed on it.

Comprehensive and Detailed Explanation From Exact Extract:

A valid test checks if the algorithm produces the expected output for a given input, according to its specification. The algorithm outputs "OK" for numbers in the range [98.3, 98.9] (inclusive or exclusive bounds not specified, but typically inclusive in such problems) and "Not OK" otherwise. According to foundational programming principles, we evaluate each test case.

Specification:

Input in [98.3, 98.9] → Output: "OK".

Input outside [98.3, 98.9] → Output: "Not OK".

Option A: "Input 98.6. Ensure output is 'Not OK.'" Incorrect. Since 98.6 is between 98.3 and 98.9 (98.3 ≤ 98.6 ≤ 98.9), the output should be "OK", not "Not OK". This test is invalid.

Option B: "Input 98.6. Ensure output is 'OK.'" Correct. 98.6 is within the range, and the expected output is "OK", making this a valid test.

Option C: "Input 99.9. Ensure output is 'OK.'" Incorrect. 99.9 is outside the range (99.9 > 98.9), so the output should be "Not OK", not "OK". This test is invalid.

Option D: "Input 99.9. Ensure output is '98.9.'" Incorrect. The algorithm outputs either "OK" or "Not OK", not a numerical value like "98.9". This test is invalid.

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

General Programming Principles: Testing and Validation.

W3Schools: “Python Conditions” (https://www.w3schools.com/python/python_conditions.asp).

Comprehensive and Detailed Explanation From Exact Extract:

HTML (HyperText Markup Language) is a standard for structuring content on the web. According to foundational programming principles, HTML is a markup language, not a programming language, and does not involve typing (dynamic or static) or OOP.

Option A: "Dynamically typed." This is incorrect. HTML is not a programming language and does not involve variables or typing. Dynamic typing applies to languages like Python or JavaScript.

Option B: "Markup." This is correct. HTML is a markup language used to define the structure of web content using tags (e.g.,

,

).

Option C: "Statically typed." This is incorrect. HTML does not involve typing, as it is not a programming language. Static typing applies to languages like C or Java.

Option D: "Object-oriented." This is incorrect. HTML lacks OOP features like classes, inheritance, or polymorphism, as it is designed for content structuring, not programming.

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

W3Schools: “HTML Introduction” (https://www.w3schools.com/html/html_intro.asp).

Mozilla Developer Network: “HTML Basics” (https://developer.mozilla.org/en-US/docs/Learn/Getting_started_with_the_web/HTML_basics).

 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 Waterfall model, a traditional software development lifecycle (SDLC) methodology, the design phase follows the requirements phase. During the design phase, the focus is on creating a detailed specification of the system to be developed. This includes:

Architectural Design: Outlining the overall structure of the system.

Interface Design: Defining how the software components will interact with each other and with users.

Component Level Design: Specifying the behavior of individual components.

Data Structure Design: Establishing how data is organized within the system.

The deliverable produced during this phase is a comprehensive design document that describes the architecture, components, interfaces, and data structures of the application in detail. It serves as a blueprint for the next phase of the Waterfall process, which is implementation (coding).

Comprehensive and Detailed Explanation From Exact Extract:

To find the rightmost digit of an integer q = 7777, we need the units digit (i.e., 7). According to foundational programming principles, the modulo operator (%) with 10 isolates the rightmost digit of a number.

Option A: "10 % q."

Compute: 10 % 7777 = 10 (since 10 ÷ 7777 has a remainder of 10).

Result: 10 ≠ 7. Incorrect.

Option B: "q % 10."

Compute: 7777 % 10 = 7 (remainder of 7777 ÷ 10, isolating the units digit).

Result: 7 = rightmost digit. Correct.

Option C: "q / 10000."

Compute: 7777 / 10000 = 0.7777 (floating-point division).

Result: 0.7777 ≠ 7. Incorrect.

Option D: "q % 10000."

Compute: 7777 % 10000 = 7777 (since 7777 < 10000).

Result: 7777 ≠ 7. Incorrect.

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

C Programming Language Standard (ISO/IEC 9899:2011, Section on Multiplicative Operators).

W3Schools: “Python Operators” (https://www.w3schools.com/python/python_operators.asp).

Interpreted languages are designed to be executed one statement at a time by an interpreter. This allows for immediate execution and feedback, which is useful for debugging and interactive use. Unlike compiled languages, interpreted languages do not generate machine code prior to execution, and they do not produce syntax errors during compilation because there is no compilation step. They are not restricted to one machine, as the interpreter can be implemented on various systems, and they do not require the programmer to write machine code.

Comprehensive and Detailed Explanation From Exact Extract:

Equality operators compare two values to determine if they are equal or not equal, returning a boolean result. According to foundational programming principles, common equality operators are == (equal to) and != (not equal to).

Option A: "-." This is incorrect. The subtraction operator (-) is an arithmetic operator, not an equality operator.

Option B: "==." This is correct. The equality operator (==) checks if two values are equal (e.g., 5 == 5 returns True).

Option C: "/." This is incorrect. The division operator (/) is an arithmetic operator, not an equality operator.

Option D: "not." This is incorrect. The not operator is a logical operator that negates a boolean value, not an equality operator.

Option E: "<=." This is incorrect. The less-than-or-equal-to operator (<=) is a relational (comparison) operator, not an equality operator.

Option F: "!=." This is correct. The not-equal-to operator (!=) checks if two values are not equal (e.g., 5 != 3 returns True).

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

C Programming Language Standard (ISO/IEC 9899:2011, Section on Equality Operators).

W3Schools: “Python Operators” (https://www.w3schools.com/python/python_operators.asp).

Comprehensive and Detailed Explanation From Exact Extract:

The algorithm counts how many times d can be subtracted from i until i is less than d, effectively computing the integer division i / d. According to foundational programming principles, we trace the loop execution.

Initial State:

i = 61, d = 6, c = 0.

Loop Execution:

While i >= d (i.e., 61 >= 6):

c = c + 1 (increment counter).

i = i - d (subtract d from i).

Iterations:

1: i = 61, c = 0 + 1 = 1, i = 61 - 6 = 55.

2: i = 55, c = 1 + 1 = 2, i = 55 - 6 = 49.

3: i = 49, c = 2 + 1 = 3, i = 49 - 6 = 43.

4: i = 43, c = 3 + 1 = 4, i = 43 - 6 = 37.

5: i = 37, c = 4 + 1 = 5, i = 37 - 6 = 31.

6: i = 31, c = 5 + 1 = 6, i = 31 - 6 = 25.

7: i = 25, c = 6 + 1 = 7, i = 25 - 6 = 19.

8: i = 19, c = 7 + 1 = 8, i = 19 - 6 = 13.

9: i = 13, c = 8 + 1 = 9, i = 13 - 6 = 7.

10: i = 7, c = 9 + 1 = 10, i = 7 - 6 = 1.

Stop: i = 1 < 6, exit loop.

Output: Put c to output outputs c = 10.

Verification: 61 ÷ 6 = 10 (integer division), with remainder 1 (since 61 - 6 * 10 = 1).

Option A: "1." Incorrect. This would occur after one iteration.

Option B: "5." Incorrect. This is too low; c reaches 10.

Option C: "10." Correct. Matches the count of subtractions.

Option D: "60." Incorrect. This is unrelated to the algorithm’s logic.

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

Python Documentation: “While Loops” (https://docs.python.org/3/reference/compound_stmts.html#while).

W3Schools: “C While Loop” (https://www.w3schools.com/c/c_while_loop.php).