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WGU Foundations-of-Computer-Science Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Computer Architecture & Organization | 15% | - Memory hierarchy and performance - Von Neumann architecture - CPU, memory, I/O systems - Instruction sets and execution cycles |
| Discrete Mathematics & Logic | 25% | - Set theory, relations, functions - Propositional and predicate logic - Proof techniques and mathematical induction - Boolean algebra and digital logic |
| Data Structures | 20% | - Primitive and composite data types - Trees, graphs, hash tables - Data storage and retrieval principles - Arrays, linked lists, stacks, queues |
| Software Engineering & Programming Basics | 15% | - Testing and debugging fundamentals - Software development lifecycle - Basic syntax and control structures - Programming paradigms |
| Algorithms & Complexity | 25% | - Big O notation, time and space complexity - Algorithm design and analysis - Sorting and searching algorithms - Recursion and iterative structures |
Foundations-of-Computer-Science Exam Basics and Our Service Policies
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WGU defines the following prerequisites for the WGU Foundations of Computer Science: None; open to all students enrolled in relevant WGU programs.
Verify the current requirements on the official certification page before booking.
The current exam information lists 50 questions for the Foundations-of-Computer-Science exam, with 120 minutes minutes allowed. Practicing with a timer beforehand turns the limit into a familiar rhythm.
WGU points candidates to these official training options:
Combine structured training with regular question practice for the sturdiest preparation.
Through continuous research and development, and speed. Our technicians and experts work on the Foundations-of-Computer-Science bank daily, updating the database the moment the actual exam content changes — more frequently than typical offerings on the market. The bank is organized around the core knowledge and key points of the WGU Foundations of Computer Science syllabus, every answer is expert-verified, and delivery is immediate after payment. Customers come first here, and the free demo lets you verify all of it before spending anything.
The WGU Foundations of Computer Science blueprint is built on these principal domains:
- Data Structures (20%)
- Discrete Mathematics & Logic (25%)
- Computer Architecture & Organization (15%)
The official outline continues with additional domains — the question bank covers the full set.
At present, the passing score for the Foundations-of-Computer-Science exam is Competency-based assessment and the registration fee is Included in tuition fees. Both belong to WGU and can change, so confirm them on the official site when you register.
Registration is handled through the official channels listed here:
Select a test center or online appointment, and book early — the most convenient slots fill first.
WGU Foundations of Computer Science Sample Questions:
What is the correct way to convert an integer to a string in Python?
- A. string(variable)
- B. tostring(variable)
- C. str(variable)
- D. int_to_str(variable)
Correct Answer: C 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
What is the correct way to represent a boolean value in Python?
- A. "true"
- B. true
- C. True
- D. "True"
Correct Answer: C 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
Which brand of Type 1 hypervisor is commonly used to create virtual machines?
- A. VirtualBox
- B. Parallels Desktop
- C. VMware ESXi
- D. VMware Workstation
Correct Answer: C 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
What Python code would return the value 40 from np_2d, where np_2d = np.array([[1, 2, 3, 4], [10, 20, 30,
40]])?
- A. np_2d[3, 1]
- B. np_2d[4, 1]
- C. np_2d[0, 4]
- D. np_2d[1, 3]
Correct Answer: D 🗳️
Explanation: Only visible for ExamTorrent members. You can sign-up / login (it's free).
What is a key advantage of using NumPy when handling large datasets?
- A. Built-in machine learning algorithms
- B. Efficient storage and computation
- C. Automatic data cleaning
- D. Interactive visualizations
Correct Answer: B 🗳️
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