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

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

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                                      WGU Foundations of Computer Science 認定 Foundations-of-Computer-Science 試験問題 (Q24-Q29):

                                      質問 # 24
                                      Which is the most powerful command line interface on Windows systems?

                                      正解：B

                                      解説：
                                      On Windows,PowerShellis generally regarded as the most powerful command-line environment because it is both a shell and a scripting language designed for system administration and automation. Traditional Command Promptfocuses on running console commands and batch files with plain-text input and output.
                                      PowerShell, by contrast, uses an object-oriented pipeline: commands (calledcmdlets) output structured objects rather than raw text. This enables more reliable scripting and data manipulation, since you can filter, sort, and transform results without fragile text parsing.
                                      Textbooks covering operating systems and administration emphasize automation and management at scale.
                                      PowerShell integrates tightly with Windows management technologies, such as WMI/CIM, the registry, services, event logs, and Active Directory environments. It also supports remote management, scripting modules, robust error handling, and modern security features. This makes it particularly suitable for tasks like provisioning users, configuring machines, auditing systems, and orchestrating deployments.
                                      The other options are not command-line interfaces in the same sense. Task Manager is a GUI tool for viewing processes and performance. Control Panel is also GUI-based for system configuration. Command Prompt is a command line interface, but it is less capable for complex administration compared to PowerShell's scripting and object pipeline.
                                      Therefore, from a computer science and systems perspective, PowerShell is the most powerful Windows CLI environment among the choices.


                                      質問 # 25
                                      Which principle can be used to implement an algorithm to calculate factorial or Fibonacci sequence?

                                      正解：A

                                      解説：
                                      Factorial and Fibonacci are classic examples used to teachrecursion, a technique where a function solves a problem by calling itself on smaller subproblems. The key requirement for recursion is (1) abase casethat stops further calls and (2) arecursive casethat reduces the problem size. For factorial, the definition is (n! = n
                                      \times (n-1)!) with base case (0! = 1) (or (1! = 1)). For Fibonacci, (F(n) = F(n-1) + F(n-2)) with base cases (F (0)=0) and (F(1)=1). These mathematical definitions map directly into recursive code, which is why textbooks frequently introduce recursion using these sequences.
                                      While factorial and Fibonacci can also be computed iteratively, the question asks for the principle that can be used to implement such algorithms, and recursion is the canonical textbook answer. Recursion also connects to important CS topics: call stacks, activation records, and divide-and-conquer problem solving.
                                      Option A ("procedural programming") and option D ("object-oriented programming") are broader paradigms rather than the specific technique used in the classic implementations. Option B ("iterative programming") is a valid alternative approach, but the standard instructional principle highlighted for these particular examples is recursion. Textbooks also note that naive recursive Fibonacci is inefficient (exponential time) unless optimized with memoization or converted to an iterative or dynamic programming approach.


                                      質問 # 26
                                      What is the time complexity of a binary search algorithm?