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WGU Foundations-of-Computer-Science Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Computer Architecture & Organization | 15% | - CPU, memory, I/O systems - Memory hierarchy and performance - Instruction sets and execution cycles - Von Neumann architecture |
| Discrete Mathematics & Logic | 25% | - Proof techniques and mathematical induction - Propositional and predicate logic - Boolean algebra and digital logic - Set theory, relations, functions |
| Algorithms & Complexity | 25% | - Algorithm design and analysis - Recursion and iterative structures - Sorting and searching algorithms - Big O notation, time and space complexity |
| Software Engineering & Programming Basics | 15% | - Basic syntax and control structures - Programming paradigms - Software development lifecycle - Testing and debugging fundamentals |
| Data Structures | 20% | - Data storage and retrieval principles - Arrays, linked lists, stacks, queues - Primitive and composite data types - Trees, graphs, hash tables |
WGU Foundations of Computer Science Sample Questions:
1. What will be the result of performing the slice fam[:3]?
A) A list with the first two elements of fam
B) A list with the last three elements of fam
C) A list with the first four elements of fam
D) A list with the first three elements of fam
2. Which Windows 11 tool enables a user to manually add a Bluetooth device if it does not automatically configure when first connected?
A) Device manager
B) Network center
C) Task scheduler
D) Windows defender
3. Which principle can be used to implement an algorithm to calculate factorial or Fibonacci sequence?
A) Object-oriented programming
B) Recursion programming
C) Procedural programming
D) Iterative programming
4. Which type of files are meant to be inaccessible to standard users, but can be critical in terms of functionality?
A) Extension files
B) Backup files
C) Log files
D) System files
5. Which statement describes the data type restriction found in most NumPy arrays?
A) NumPy arrays are restricted to string data types only.
B) NumPy arrays can only hold integer data types.
C) NumPy arrays must be of the same type of data.
D) NumPy arrays adapt to the most complex data type on the fly.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: C |




