Instant Download WGU Foundations-of-Computer-Science Free Updated Test Dumps [Q14-Q36]

Rate this post

Instant Download WGU: Foundations-of-Computer-Science Free Updated Test Dumps

Valid Foundations-of-Computer-Science FREE EXAM DUMPS QUESTIONS & ANSWERS

WGU Foundations-of-Computer-Science Exam Syllabus Topics:

Section	Objectives
Topic 1: OS Fundamentals	– Demonstrate various techniques and tools to manage operating systems – Describe fundamental principles and core concepts of operating systems – Identify common privacy and security concepts that could be implemented in operating systems
Topic 2: Data Profiling	– Apply fundamental concepts and subsetting techniques to a dataset – Utilize a programming language to manipulate arrays and discover insights
Topic 3: Basic Program Design	– Use functions, methods, and packages to leverage programming language – Identify variables and data types within a programming language – Explain how to store, access, and manipulate data in lists
Topic 4: Algorithm Efficiency	– Describe the relationships between algorithm complexity and data structures – Choose an appropriate sorting algorithm method based on a given scenario – Choose an appropriate algorithm searching method based on a given scenario

Q14. m = 30
n = 30
What will be the output of print(id(m), id(n)) after executing the following code?

Two identical numbers

Two different numbers

0 0

Error

Q15. Which method allows a user to convert a string value to all capital letters in Python?

toUpperCase()

makeUpper()

upper()

upperCase()

Q16. What happens if you try to create a NumPy array with different types?

The array will be created, but calculations will not be possible.

The array will contain a single type, converting all elements to that type.

The array will be created with no issues.

The array will be split into multiple arrays, one for each type.

Q17. What code would print a subarray of the first 5 elements in numpy_array?

print(numpy_array[1:5])

print(numpy_array.get(0, 5))

print(numpy_array[:5])

print(numpy_array.get(5, 1))

Q18. How is the NumPy package imported into a Python session?

import num_py

import numpy as np

using numpy

include numpy

Q19. What is another term for the inputs into a function?

Procedures

Outputs

Variables

Arguments

Q20. What statistical measure can be used to detect outliers in a dataset using NumPy?

Variance

Standard deviation

Median absolute deviation

Mode

Q21. What is a key advantage of using NumPy when handling large datasets?

Built-in machine learning algorithms

Automatic data cleaning

Efficient storage and computation

Interactive visualizations

Q22. What is the main advantage of using NumPy arrays over regular Python lists for data analysis?

NumPy arrays can bring different types into the array at the same time.

NumPy arrays can only hold elements of the same type.

NumPy arrays can perform calculations over entire collections of values.

NumPy arrays can concatenate lists by default.

Q23. Which is the most powerful command line interface on Windows systems?

Task Manager

Command Prompt

Control Panel

PowerShell

Q24. What is the name of the tool that can allow a device to run more than one operating system at a time as virtual machines?

Bootloader

Partition Manager

System Restore

Hypervisor

Q25. What are Python functions that belong to specific Python objects?

Modules

Methods

Scripts

Libraries

Q26. What stores the location of the next node in a linked list?

The pointer

The index

The value

The header

Q27. What is another term for the inputs into a function?

Variables

Procedures

Outputs

Arguments

Q28. What is the expected output of calling .shape on a NumPy 2D array?

The type of elements in the array

The number of rows and columns in the 2D array

The sum of the dimensions of the array

The total number of elements in the array

Q29. What is the only content that will display if the List folder contents permission is not enabled for a particular folder in Windows 11?

The folder’s author

The folder’s creation date

Files with Write permission

Files with Read permission

Q30. Which action is taken if the first number is the lowest value in a selection sort?

The first number is increased by one.

The first number is duplicated.

It swaps the selected element with the last unsorted element.

It swaps the selected element with the first unsorted element.

Q31. What is the expected result of running the following code: list1[0] = “California”?

A new list will be created with the value “California”.

The first value in the list will be replaced with “California”.

The list will be extended by adding “California” at the end.

A second element will be added to the line “California”.

Q32. What is traversal in the context of trees and graphs?

The process of changing the value of nodes

The process of removing all nodes

The process of connecting all nodes

The process of visiting all nodes

Q33. How does the data type of a variable get set in Python?

It is explicitly declared by the programmer.

It is chosen randomly.

It is always set to string by default.

It is determined by the value assigned to it.

Q34. Which aspect is excluded from a NumPy array’s structure?

The data pointer

The shape of the array

The data type or dtype pointer

The encryption key of the array

Q35. The np_2d array stores information about multiple family members. Each row represents a different person, and the columns store family member attributes in the following order:
Age (years)
Weight (pounds)
Height (inches)
How is the weight of all family members selected from the np_2d array?

np_2d[:, 2]

np_2d[:, 1]

np_2d[2, :]

np_2d[1, :]

Q36. What is an ndarray in Python?

A built-in Python data array used to store collections of items.

A native Python object that represents a tree-like hierarchical data structure.

An n-dimensional array object provided by the NumPy library.

A module that provides network socket functions similar to XML.