WGU Foundations of Computer Science: Foundations-of-Computer-Science Exam
"WGU Foundations of Computer Science", also known as Foundations-of-Computer-Science exam, is a WGU Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 72 Q&As to your Foundations-of-Computer-Science Exam preparation. In the Foundations-of-Computer-Science exam resources, you will cover every field and category in Courses and Certificates Certification helping to ready you for your successful WGU Certification.
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- Exam Code: Foundations-of-Computer-Science
- Exam Name: WGU Foundations of Computer Science
- Certification Provider: WGU
- Corresponding Certification: Courses and Certificates
- Updated: Aug 24, 2026
- No. of Questions: 72 Questions & Answers with Testing Engine
- Download Limit: Unlimited
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WGU Foundations-of-Computer-Science Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data & Security Basics | - Security Fundamentals
|
| Topic 2: Operating Systems & Architecture | - System Architecture
|
| Topic 3: Programming Foundations | - Language Concepts Overview
|
| Topic 4: Computer Science Fundamentals | - Data Structures Introduction
|
WGU Foundations of Computer Science Sample Questions:
1. Which Python function is used to display the data type of a given variable?
A) type()
B) GetVar()
C) Data()
D) Show()
2. What is the purpose of the pointer element of each node in a linked list?
A) To indicate the current position
B) To store the data value
C) To keep track of the list size
D) To indicate the next node
3. What is the method for changing an element in a Python list?
A) Use parentheses and the plus sign
B) Use curly brackets and the equals sign
C) Use the del keyword and the element's value
D) Use square brackets and the equals sign
4. What will the expression fam[3:6] return?
A) A list with elements at index 3, 4, 5, and 6
B) A list with elements at index 4, 5, and 6
C) A list with elements at index 3, 4, and 5
D) A list with elements at index 6
5. What is a key advantage of using NumPy when handling large datasets?
A) Built-in machine learning algorithms
B) Automatic data cleaning
C) Interactive visualizations
D) Efficient storage and computation
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: D |
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