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WGU Foundations-of-Computer-Science Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Computer Architecture & Organization | 15% | - CPU, memory, I/O systems - Instruction sets and execution cycles - Von Neumann architecture - Memory hierarchy and performance |
| Data Structures | 20% | - Arrays, linked lists, stacks, queues - Trees, graphs, hash tables - Data storage and retrieval principles - Primitive and composite data types |
| Discrete Mathematics & Logic | 25% | - Propositional and predicate logic - Boolean algebra and digital logic - Set theory, relations, functions - Proof techniques and mathematical induction |
| Software Engineering & Programming Basics | 15% | - Testing and debugging fundamentals - Basic syntax and control structures - Programming paradigms - Software development lifecycle |
| Algorithms & Complexity | 25% | - Big O notation, time and space complexity - Recursion and iterative structures - Algorithm design and analysis - Sorting and searching algorithms |
WGU Foundations of Computer Science Sample Questions:
How is a NumPy array named data with 6 elements reshaped into a 2x3 array?
- A. data_reshape[2, 3]
- B. np_reshape(list, (2, 3))
- C. data.set_shape(2, 3)
- D. np.reshape(data, (2, 3))
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
What is the alternative way to access the third element of the first row in np_2d?
- A. np_2d[3, 1]
- B. np_2d[0, 2]
- C. np_2d[2, 0]
- D. np_2d[1, 3]
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
What is the correct way to represent a boolean value in Python?
- A. True
- B. "true"
- C. true
- D. "True"
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Which character is used to indicate a range of values to be sliced into a new list?
- A. "="
- B. ":"
- C. "+"
- D. ","
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The np_2d array stores information about multiple family members. Each row represents a different person, and the columns store family member attributes in the following order:
Age (years)
Weight (pounds)
Height (inches)
How is the weight of all family members selected from the np_2d array?
- A. np_2d[2, :]
- B. np_2d[:, 1]
- C. np_2d[:, 2]
- D. np_2d[1, :]
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
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