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WGU Practical-Applications-of-Prompt Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Output Evaluation & Optimization | 25% | - Assessing response quality
|
| Topic 2: Real-World Application | 30% | - Contextual adaptation
|
| Topic 3: Ethics & Best Practices | 20% | - Professional standards
|
| Topic 4: Prompt Design & Structure | 25% | - Core components of effective prompts
|
WGU Practical Applications of Prompt QFO1 Sample Questions:
1. What is the principle of ethics that is ensured by explaining AI system decision-making to stakeholders and users?
A) Transparency
B) Accountability
C) Societal impact
D) Fairness
2. Which prompting technique involves using information from an initial prompt to guide the AI to a second prompt?
A) Least to most
B) Zero-shot
C) Cognitive verifier pattern
D) Generated knowledge
3. What is one example of a task in which natural language processing (NLP) algorithms are employed?
A) Numerical data cleaning
B) Increasing raw data precision
C) Textual data cleaning
D) Interpreting raw values
4. 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
5. What is the importance of descriptive language when engineering a prompt for image creation?
A) It increases the speed of generation.
B) It ensures that the AI uses true originality.
C) It helps the AI capture and create nuances.
D) It prevents intellectual violations.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: C |






