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Updated: Oct 11, 2026

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WGU Foundations-of-Computer-Science Exam Overview:

Certification Vendor:Western Governors University (WGU)
Exam Name:Foundations of Computer Science Objective Assessment
Exam Number:D792 (commonly referenced for FOCS prerequisite course)
Certificate Validity Period:No formal certification validity period; course completion is prerequisite-based (not a standalone certification)
Passing Score:Competency-based (no public numeric score; must reach 'Competent' on all domains)
Real Exam Qty:Approximately 70–75 questions (varies by version)
Exam Price:Included in WGU Academy / ~$99 standalone course (region and enrollment dependent)
Exam Duration:90–180 minutes (varies by assessment scheduling; commonly ~120 minutes)
Related Certifications:WGU MS in Computer Science (MSCS) admission prerequisite
Exam Format:Multiple Select, Scenario-based Questions, Multiple Choice
Available Languages:English
Recommended Training:Intro to Computer Science Learning Resources (WGU course ecosystem)
WGU Single Courses (Foundations of Computer Science)
Exam Registration:WGU Official Site
WGU Academy
Sample Questions:WGU Foundations-of-Computer-Science Sample Questions
Exam Way:Online proctored objective assessment (WGU Academy / WGU platform)
Pre Condition:Typically required for non-CS background applicants to WGU MS in Computer Science or equivalent readiness pathway
Official Syllabus URL:https://www.wgu.edu/

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

SectionObjectives
Topic 1: Data & Security Basics- Security Fundamentals
  • 1. Encryption basics (at rest vs in transit)
    • 2. Basic cybersecurity threats and mitigation
      - Data Handling
      • 1. Data profiling concepts
        • 2. Basic database concepts overview
          Topic 2: Computer Science Fundamentals- Core CS Concepts
          • 1. Algorithm efficiency and Big-O basics
            • 2. Computational thinking and problem solving
              • 3. Basic programming logic and algorithms
                - Data Structures Introduction
                • 1. Arrays and lists
                  • 2. Basic sorting and searching concepts
                    Topic 3: Programming Foundations- Language Concepts Overview
                    • 1. Compiled vs interpreted languages
                      • 2. Programming paradigms overview
                        - Programming Concepts
                        • 1. Variables, data types, expressions
                          • 2. Basic pseudocode interpretation
                            • 3. Control flow (if/else, loops)
                              Topic 4: Operating Systems & Architecture- System Architecture
                              • 1. Hardware vs software abstraction
                                • 2. Von Neumann architecture basics
                                  - OS Fundamentals
                                  • 1. Memory management concepts
                                    • 2. Process states and scheduling basics

                                      WGU Foundations of Computer Science Sample Questions:

                                      Question #1

                                      What is the correct way to represent a boolean value in Python?

                                      • A. "True"
                                      • B. true
                                      • C. "true"
                                      • D. True
                                      Reveal Solution  Discussion  0

                                      Correct Answer: D  🗳️

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                                      Question #2

                                      What is the time complexity of a quicksort algorithm?

                                      • A. O(log n)
                                      • B. O(n log n)
                                      • C. O(1)
                                      • D. O(n)
                                      Reveal Solution  Discussion  0

                                      Correct Answer: B  🗳️

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                                      Question #3

                                      What is an ndarray in Python?

                                      • A. A native Python object that represents a tree-like hierarchical data structure.
                                      • B. An n-dimensional array object provided by the NumPy library.
                                      • C. A built-in Python data array used to store collections of items.
                                      • D. A module that provides network socket functions similar to XML.
                                      Reveal Solution  Discussion  0

                                      Correct Answer: B  🗳️

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                                      Question #4

                                      What is a key advantage of using NumPy when handling large datasets?

                                      • A. Interactive visualizations
                                      • B. Efficient storage and computation
                                      • C. Built-in machine learning algorithms
                                      • D. Automatic data cleaning
                                      Reveal Solution  Discussion  0

                                      Correct Answer: B  🗳️

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                                      Question #5

                                      Which order is impossible when traversing a binary tree using depth first search?

                                      • A. Level-order traversal
                                      • B. Pre-order traversal
                                      • C. In-order traversal
                                      • D. Post-order traversal
                                      Reveal Solution  Discussion  0

                                      Correct Answer: A  🗳️

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