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WGU Practical-Applications-of-Prompt Exam Syllabus Topics:

WGU Practical Applications of Prompt QFO1 Sample Questions:

1. A person asks a large language model to develop a product description for a laptop. The person refines the prompt several times, each time adding more details, context, and restrictions to improve the result. Which prompting technique is described?

A) Least to most
B) Few-shot
C) Chain of thought (COT)
D) Cognitive verifier pattern

2. Consider the following component of an AI search tool prompt: "Find bike paths near Minneapolis." Which effective prompt component does this demonstrate?

A) Persona
B) Output format
C) Instructions
D) Context

3. A member of a middle pre-algebra class is having a difficult time graphing a line for a homework assignment.
In order to get help, the student enters the prompt "help with math" into an AI system. Which change should the student make to the prompt to generate a better outcome?

A) Include scores from the most recent assignments
B) Give context on why the help is needed
C) Make the prompt a full sentence for correctness
D) Include personal details, such as their first and last name

4. What is an example of a prompt that needs a greater level of detail?

A) "What is the selection process for winning a national contest?"
B) "What is a proven strategy for better studying effectiveness in college?"
C) "What are the top-rated dine-in restaurants in Detroit, Michigan?"
D) "What were the most profitable movies released in the U.S. in 2012?"

5. Which statement explains why generative AI is valuable for data classification?

A) It can detect complex patterns.
B) It operates on structured data.
C) It specializes in statistical calculations.
D) It can produce missing data values.

Solutions: