Free PDF Quiz 2026 Perfect WGU Foundations-of-Computer-Science: Test WGU Foundations of Computer Science Quiz

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

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

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                                      WGU Foundations of Computer Science Sample Questions (Q66-Q71):

                                      NEW QUESTION # 66
                                      What is the time complexity of a quicksort algorithm?

                                      Answer: C

                                      Explanation:
                                      Quicksort is a divide-and-conquer sorting algorithm. It works by selecting a pivot element, partitioning the array into two subarrays (elements less than the pivot and elements greater than the pivot), and then recursively sorting those subarrays. In the average case, the partition step splits the array into roughly equal halves, so the recurrence is commonly written as (T(n) = T(n/2) + T(n/2) + O(n)), where (O(n)) is the cost of partitioning. This solves to (O(n \log n)), which is why quicksort is widely taught as an efficient general- purpose sorting method.
                                      However, textbooks also emphasize that quicksort has a worst-case time complexity of (O(n

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