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WGU Foundations-of-Computer-Science Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data & Security Basics | - Security Fundamentals
|
| Computer Science Fundamentals | - Core CS Concepts
|
| Operating Systems & Architecture | - System Architecture
|
| Programming Foundations | - Programming Concepts
|
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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