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

SectionObjectives
Basic Program Design- Identify variables and data types within a programming language
- Use functions, methods, and packages to leverage programming language
- Explain how to store, access, and manipulate data in lists
Data Profiling- Utilize a programming language to manipulate arrays and discover insights
- Apply fundamental concepts and subsetting techniques to a dataset
OS Fundamentals- Describe fundamental principles and core concepts of operating systems
- Demonstrate various techniques and tools to manage operating systems
- Identify common privacy and security concepts that could be implemented in operating systems
Algorithm Efficiency- Choose an appropriate algorithm searching method based on a given scenario
- Choose an appropriate sorting algorithm method based on a given scenario
- Describe the relationships between algorithm complexity and data structures

WGU Foundations of Computer Science Sample Questions:

What Python code would return the value 2 from np_2d, where np_2d = np.array([[1, 2, 3, 4], [10, 20, 30,
40]])?

  • A. np_2d[0,1]
  • B. np_2d[2]
  • C. np_2d[2, 0]
  • D. np_2d[0,1][1]
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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

  • A. The NumPy package is not present.
  • B. The Python interpreter is misconfigured.
  • C. The Python version is outdated.
  • D. The array module is not imported.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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

  • A. 20 + 5
  • B. Syntax Error
  • C. no output
  • D. #25
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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What Python code would return the value 40 from np_2d, where np_2d = np.array([[1, 2, 3, 4], [10, 20, 30,
40]])?

  • A. np_2d[4, 1]
  • B. np_2d[0, 4]
  • C. np_2d[3, 1]
  • D. np_2d[1, 3]
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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

  • A. Standard deviation
  • B. Variance
  • C. Median absolute deviation
  • D. Mode
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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