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WGU Foundations-of-Computer-Science Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Algorithms & Complexity | 25% | - Algorithm design and analysis - Recursion and iterative structures - Sorting and searching algorithms - Big O notation, time and space complexity |
| Topic 2: Software Engineering & Programming Basics | 15% | - Testing and debugging fundamentals - Programming paradigms - Basic syntax and control structures - Software development lifecycle |
| Topic 3: Discrete Mathematics & Logic | 25% | - Boolean algebra and digital logic - Propositional and predicate logic - Set theory, relations, functions - Proof techniques and mathematical induction |
| Topic 4: Data Structures | 20% | - Arrays, linked lists, stacks, queues - Trees, graphs, hash tables - Data storage and retrieval principles - Primitive and composite data types |
| Topic 5: Computer Architecture & Organization | 15% | - Von Neumann architecture - CPU, memory, I/O systems - Instruction sets and execution cycles - Memory hierarchy and performance |
WGU Foundations of Computer Science Sample Questions:
Question 1
What is the expected output of numpy_array[1]?
A. An error message in the array
B. A display of the entire array
C. The second element of the array
D. The first element of the array
Question 2
Which action is taken if the first number is the lowest value in a selection sort?
A. It swaps the selected element with the last unsorted element.
B. It swaps the selected element with the first unsorted element.
C. The first number is increased by one.
D. The first number is duplicated.
Question 3
Which brand of Type 1 hypervisor is commonly used to create virtual machines?
A. VMware ESXi
B. Parallels Desktop
C. VMware Workstation
D. VirtualBox
Question 4
What code would print a subarray of the first 5 elements in numpy_array?
A. print(numpy_array.get(0, 5))
B. print(numpy_array[1:5])
C. print(numpy_array[:5])
D. print(numpy_array.get(5, 1))
Question 5
How is the NumPy package imported into a Python session?
A. import num_py
B. import numpy as np
C. using numpy
D. include numpy
Solutions:
| Question 1 Answer: C | Question 2 Answer: B | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: B |
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