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Updated: Aug 25, 2026

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WGU Foundations-of-Computer-Science Exam Overview:

Certification Vendor:WGU
Exam Name:Foundations of Computer Science
Exam Number:D792
Exam Price:Included in tuition
Passing Score:Competency-based
Certificate Validity Period:N/A
Available Languages:English
Related Certifications:Computer Science
Real Exam Qty:50
Exam Duration:120 minutes
Exam Format:Multiple Choice, Proctored
Sample Questions:WGU Foundations-of-Computer-Science Sample Questions
Exam Way:Online proctored
Pre Condition:None
Official Syllabus URL:https://www.wgu.edu/online-it-degrees/computer-science.html

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

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

WGU Foundations of Computer Science Sample Questions:

1. What is another term for the inputs into a function?

A) Variables
B) Outputs
C) Procedures
D) Arguments


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

A) Mode
B) Median absolute deviation
C) Standard deviation
D) Variance


3. Which protocol provides encryption while email messages are in transit?

A) HTTP
B) TLS
C) IMAP
D) FTP


4. 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) np.reshape(data, (2, 3))
D) data.set_shape(2, 3)


5. What is the alternative way to access the third element of the first row in np_2d?

A) np_2d[0, 2]
B) np_2d[1, 3]
C) np_2d[3, 1]
D) np_2d[2, 0]


Solutions:

Question # 1
Answer: D
Question # 2
Answer: B
Question # 3
Answer: B
Question # 4
Answer: C
Question # 5
Answer: A

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