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

"WGU Foundations of Computer Science", also known as Foundations-of-Computer-Science exam, is a WGU Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 72 Q&As to your Foundations-of-Computer-Science Exam preparation. In the Foundations-of-Computer-Science exam resources, you will cover every field and category in Courses and Certificates Certification helping to ready you for your successful WGU Certification.

  • Exam Code: Foundations-of-Computer-Science
  • Exam Name: WGU Foundations of Computer Science
  • Certification Provider: WGU
  • Corresponding Certification: Courses and Certificates
  • Updated: Sep 08, 2026
  • No. of Questions: 72 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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

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

                                      WGU Foundations of Computer Science Sample Questions:

                                      Question 1

                                      What is the likely cause if a default Python configuration does not recognize a NumPy array as an allowed data structure?

                                      A. The array module is not imported.
                                      B. The Python interpreter is misconfigured.
                                      C. The Python version is outdated.
                                      D. The NumPy package is not present.


                                      Question 2

                                      What is the expected output of calling .shape on a NumPy 2D array?

                                      A. The number of rows and columns in the 2D array
                                      B. The total number of elements in the array
                                      C. The sum of the dimensions of the array
                                      D. The type of elements in the array


                                      Question 3

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

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


                                      Question 4

                                      What is the correct way to convert an integer to a string in Python?

                                      A. string(variable)
                                      B. str(variable)
                                      C. int_to_str(variable)
                                      D. tostring(variable)


                                      Question 5

                                      What is the main advantage of using NumPy arrays over regular Python lists for data analysis?

                                      A. NumPy arrays can only hold elements of the same type.
                                      B. NumPy arrays can concatenate lists by default.
                                      C. NumPy arrays can bring different types into the array at the same time.
                                      D. NumPy arrays can perform calculations over entire collections of values.


                                      Solutions:

                                      Question 1
                                      Answer: D
                                      Question 2
                                      Answer: A
                                      Question 3
                                      Answer: A
                                      Question 4
                                      Answer: B
                                      Question 5
                                      Answer: D

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