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Updated: Aug 24, 2026

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WGU Foundations-of-Computer-Science Exam Overview:

Certification Vendor:WGU
Exam Name:Foundations of Computer Science
Exam Number:D792 / Foundations-of-Computer-Science
Available Languages:English
Passing Score:Competency-based assessment
Exam Format:Multiple choice, Scenario-based questions
Exam Duration:120 minutes
Real Exam Qty:50
Certificate Validity Period:N/A
Exam Price:Included in tuition fees
Related Certifications:Bachelor of Science in Computer Science
Bachelor of Science in Software Development
Recommended Training:WGU Course Materials
Exam Registration:WGU Student Portal
Sample Questions:WGU Foundations-of-Computer-Science Sample Questions
Exam Way:Online proctored, remote delivery
Pre Condition:None; open to all students enrolled in relevant WGU programs
Official Syllabus URL:https://www.wgu.edu/online-it-degrees/computer-science-bachelor-degree.html

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

SectionWeightObjectives
Data Structures20%- Data storage and retrieval principles
- Arrays, linked lists, stacks, queues
- Trees, graphs, hash tables
- Primitive and composite data types
Algorithms & Complexity25%- Algorithm design and analysis
- Sorting and searching algorithms
- Big O notation, time and space complexity
- Recursion and iterative structures
Software Engineering & Programming Basics15%- Software development lifecycle
- Testing and debugging fundamentals
- Programming paradigms
- Basic syntax and control structures
Discrete Mathematics & Logic25%- Proof techniques and mathematical induction
- Set theory, relations, functions
- Boolean algebra and digital logic
- Propositional and predicate logic
Computer Architecture & Organization15%- CPU, memory, I/O systems
- Memory hierarchy and performance
- Von Neumann architecture
- Instruction sets and execution cycles

WGU Foundations of Computer Science Sample Questions:

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

A) Median absolute deviation
B) Standard deviation
C) Mode
D) Variance


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

A) Outputs
B) Variables
C) Arguments
D) Procedures


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

A) import numpy as np
B) using numpy
C) import num_py
D) include numpy


4. What is the time complexity of a quicksort algorithm?

A) O(log n)
B) O(1)
C) O(n log n)
D) O(n)


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

A) Outputs
B) Variables
C) Arguments
D) Procedures


Solutions:

Question # 1
Answer: A
Question # 2
Answer: C
Question # 3
Answer: A
Question # 4
Answer: C
Question # 5
Answer: C

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