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WGU Foundations-of-Computer-Science Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Computer Architecture & Organization | 15% | - Memory hierarchy and performance - Instruction sets and execution cycles - Von Neumann architecture - CPU, memory, I/O systems |
| Algorithms & Complexity | 25% | - Big O notation, time and space complexity - Algorithm design and analysis - Sorting and searching algorithms - Recursion and iterative structures |
| Data Structures | 20% | - Primitive and composite data types - Arrays, linked lists, stacks, queues - Data storage and retrieval principles - Trees, graphs, hash tables |
| Software Engineering & Programming Basics | 15% | - Software development lifecycle - Basic syntax and control structures - Testing and debugging fundamentals - Programming paradigms |
| Discrete Mathematics & Logic | 25% | - Boolean algebra and digital logic - Proof techniques and mathematical induction - Set theory, relations, functions - Propositional and predicate logic |
WGU Foundations of Computer Science Sample Questions:
Question 1
What is the expected output of calling .shape on a NumPy 2D array?
A. The total number of elements in the array
B. The type of elements in the array
C. The sum of the dimensions of the array
D. The number of rows and columns in the 2D array
Question 2
print(20 # 5)
What will the output be of this line?
A. Syntax Error
B. no output
C. #25
D. 20 + 5
Question 3
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?
A. np_2d[2, :]
B. np_2d[1, :]
C. np_2d[:, 1]
D. np_2d[:, 2]
Question 4
Which brand of Type 1 hypervisor is commonly used to create virtual machines?
A. VirtualBox
B. VMware Workstation
C. Parallels Desktop
D. VMware ESXi
Question 5
How can someone subset the last two rows and columns of a 2D NumPy array?
A. array[-1:, -1:]
B. array[-2:, -2:]
C. array[-2:, :]
D. array[:, -2:]
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: C | Question 4 Answer: D | Question 5 Answer: B |
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