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WGU Practical-Applications-of-Prompt Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Evaluation and Ethics | - Evaluating AI output quality - Bias, safety, and responsible AI use |
| Foundations of Artificial Intelligence | - Natural Language Processing overview - Basic AI concepts and terminology |
| Applied Prompt Design | - Domain-specific prompting scenarios - Task-specific prompt construction |
| Prompt Engineering Principles | - Prompt structure (instructions, context, persona, output format) - Prompt refinement and iteration techniques |
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) Few-shot
B) Cognitive verifier pattern
C) Least to most
D) Chain of thought (COT)
2. Which prompting technique encourages exploration before choosing a most suitable response?
A) Tree of thought (TOT)
B) Generated knowledge
C) Few-Shot
D) Cognitive verifier pattern
3. What is a capability that results from the raw data processing functionality of AI?
A) Recognizing objects or people in images
B) Experiencing genuine emotions or feelings
C) Applying reasoning with moral principles
D) Predicting human decision-making processes
4. What is an advantage of using Personas in prompt engineering?
A) Better memory of past conversations
B) Highly relevant responses
C) Greater response speed
D) Efficient use of system memory
5. Part of a person's prompt to an AI chatbot is: "You are a lawyer." Which effective prompt component does this demonstrate?
A) Output format
B) Context
C) Instructions
D) Persona
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: D |




