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WGU Practical-Applications-of-Prompt Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Design & Structure | 25% | - Prompting techniques
|
| Topic 2: Output Evaluation & Optimization | 25% | - Assessing response quality
|
| Topic 3: Ethics & Best Practices | 20% | - Professional standards
|
| Topic 4: Real-World Application | 30% | - Contextual adaptation
|
WGU Practical Applications of Prompt QFO1 Sample Questions:
1. Which content creation tool specializes in versatile image creation through detailed text prompts?
A) Midjourney
B) ChatGPT
C) DALL-E
D) Invideo
2. What is an example of a prompt that needs a greater level of detail?
A) "What are the top-rated dine-in restaurants in Detroit, Michigan?"
B) "What is the selection process for winning a national contest?"
C) "What is a proven strategy for better studying effectiveness in college?"
D) "What were the most profitable movies released in the U.S. in 2012?"
3. What is one example of a task in which natural language processing (NLP) algorithms are employed?
A) Increasing raw data precision
B) Textual data cleaning
C) Numerical data cleaning
D) Interpreting raw values
4. An AI model was trained on historical loan data. A loan officer has noticed that the model disproportionately suggests to refuse loans to people who live in a particular area. What is the type of bias described in the scenario?
A) Measurement bias
B) Sampling bias
C) Algorithmic bias
D) Selection bias
5. 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) Chain of thought (COT)
C) Least to most
D) Cognitive verifier pattern
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: C |


