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  • Total Questions: 72
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WGU Foundations-of-Computer-Science Exam Syllabus Topics:

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

                                      WGU Foundations of Computer Science Sample Questions:

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

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


                                      2. What is the alternative way to access the third element of the first row in np_2d?

                                      A) np_2d[2, 0]
                                      B) np_2d[3, 1]
                                      C) np_2d[0, 2]
                                      D) np_2d[1, 3]


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

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


                                      4. print(20 # 5)
                                      What will the output be of this line?

                                      A) 20 + 5
                                      B) Syntax Error
                                      C) no output
                                      D) #25


                                      5. How is a NumPy array named data with 6 elements reshaped into a 2x3 array?

                                      A) np.reshape(data, (2, 3))
                                      B) data_reshape[2, 3]
                                      C) np_reshape(list, (2, 3))
                                      D) data.set_shape(2, 3)


                                      Solutions:

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

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