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WGU Practical-Applications-of-Prompt Exam Syllabus Topics:
| Section | Objectives |
| Iterative Refinement Techniques | - Improving prompt performance
- 1. Response evaluation
- 2. Prompt adjustment
- 3. Feedback loops
|
| Handling Edge Cases and Ambiguity | - Managing unreliable outputs
- 1. Constraint enforcement
- 2. Validation strategies
- 3. Fallback instructions
|
| Prompt Engineering for Domain-Specific Tasks | - Applying prompts in practical domains
- 1. Code generation prompts
- 2. Technical writing prompts
- 3. Data analysis prompts
- 4. Creative content generation
- 5. Customer support prompts
|
| Ethical Considerations and Responsible Use | - Responsible AI usage
- 1. Ethical prompt evaluation
- 2. Fairness and accountability
- 3. Bias mitigation
|
| Prompt Structure and Clarity | - Writing clear and specific prompts
- 1. Prompt specificity
- 2. Formatting and tone
- 3. Reducing ambiguity
|
| Context and Role Definition | - Establishing AI context
- 1. Output constraints
- 2. Instruction framing
- 3. Role-based prompting
|
| Performance Metrics and Evaluation | - Evaluating prompt effectiveness
- 1. Consistency checks
- 2. Optimization measurement
- 3. Quality assessment
|
| Chain-of-Thought and Multi-Step Prompting | - Reasoning-oriented prompting
- 1. Logical decomposition
- 2. Multi-stage reasoning
- 3. Step-by-step prompting
|
WGU Practical Applications of Prompt QFO1 Sample Questions:
1. What is an advantage that comes from generative AI interfaces that are designed well?
A) They give each user an experience with unique generated outputs.
B) They filter output that contains errors and bias.
C) They allow users to specify the context for generating outputs.
D) They allow users to avoid exposure to misinformation.
2. A person is using generative AI to create a social media post. Why is it important to write an effective prompt?
A) The prompt indicates how to customize the post for each reader.
B) The prompt prevents output that is nonsensical.
C) The prompt ensures that the post will be well received.
D) The prompt ensures that the content is original.
3. Which prompting technique encourages exploration before choosing a most suitable response?
A) Few-Shot
B) Cognitive verifier pattern
C) Tree of thought (TOT)
D) Generated knowledge
4. An AI system is used to aid in an applicant selection process. The users of the system, however, have no information about which criteria are used to evaluate applicants. Which ethical concern is associated with this issue?
A) Safety
B) Transparency
C) Accountability
D) Fairness
5. 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) Algorithmic bias
B) Measurement bias
C) Sampling bias
D) Selection bias
Solutions:
Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: A |