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WGU Practical-Applications-of-Prompt Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Real-World Application | 30% | - Contextual adaptation
|
| Output Evaluation & Optimization | 25% | - Iterative refinement
|
| Prompt Design & Structure | 25% | - Core components of effective prompts
|
| Ethics & Best Practices | 20% | - Professional standards
|
WGU Practical Applications of Prompt QFO1 Sample Questions:
Question 1
Which activity is facilitated by natural language processing?
A. Managing parallel computing
B. Calculating numerical data statistics
C. Checking for grammar errors
D. Verifying experiment measurements
Question 2
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. Cognitive verifier pattern
C. Few-shot
D. Chain of thought (COT)
Question 3
Which statement describes how generative AI helps in the process of identifying patterns and trends in datasets?
A. It groups similar data points.
B. It compares all data values pairwise.
C. It expands datasets to avoid bias.
D. It uses graphical analysis to compare values.
Question 4
A user is crafting a prompt and includes both the goal and the context within the text of the prompt. What is a benefit of crafting the prompt in this way?
A. Greater interaction effectiveness
B. Reduced computational load
C. Improved interface appeal
D. Faster rate of response
Question 5
What is an important component to include in an AI prompt used to generate an image?
A. Image resolution
B. Main subject
C. Expected use
D. File size
Solutions:
| Question 1 Answer: C | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: B |
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