- Exam Code: Foundations-of-Computer-Science
- Exam Name: WGU Foundations of Computer Science
- Certification Provider: WGU
- Corresponding Certification:Courses and Certificates
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WGU Foundations-of-Computer-Science Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Computer Architecture & Organization | 15% | - Von Neumann architecture - Memory hierarchy and performance - CPU, memory, I/O systems - Instruction sets and execution cycles |
| Topic 2: Algorithms & Complexity | 25% | - Big O notation, time and space complexity - Recursion and iterative structures - Algorithm design and analysis - Sorting and searching algorithms |
| Topic 3: Software Engineering & Programming Basics | 15% | - Basic syntax and control structures - Testing and debugging fundamentals - Software development lifecycle - Programming paradigms |
| Topic 4: Data Structures | 20% | - Data storage and retrieval principles - Trees, graphs, hash tables - Primitive and composite data types - Arrays, linked lists, stacks, queues |
| Topic 5: Discrete Mathematics & Logic | 25% | - Proof techniques and mathematical induction - Set theory, relations, functions - Boolean algebra and digital logic - Propositional and predicate logic |
WGU Foundations of Computer Science Sample Questions:
1. What is the expected output of calling .shape on a NumPy 2D array?
A) The total number of elements in the array
B) The number of rows and columns in the 2D array
C) The sum of the dimensions of the array
D) The type of elements in the array
2. Which statement describes the data type restriction found in most NumPy arrays?
A) NumPy arrays are restricted to string data types only.
B) NumPy arrays must be of the same type of data.
C) NumPy arrays adapt to the most complex data type on the fly.
D) NumPy arrays can only hold integer data types.
3. Which Python function would be used to check the data type of a variable bmi?
A) check(bmi)
B) typeof(bmi)
C) datatype(bmi)
D) type(bmi)
4. What stores the location of the next node in a linked list?
A) The index
B) The pointer
C) The value
D) The header
5. What is the main advantage of using NumPy arrays over regular Python lists for data analysis?
A) NumPy arrays can perform calculations over entire collections of values.
B) NumPy arrays can bring different types into the array at the same time.
C) NumPy arrays can only hold elements of the same type.
D) NumPy arrays can concatenate lists by default.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: A |
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