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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 |
| Prompt Engineering Principles | - Prompt refinement and iteration techniques - Prompt structure (instructions, context, persona, output format) |
| Applied Prompt Design | - Domain-specific prompting scenarios - Task-specific prompt construction |
| Foundations of Artificial Intelligence | - Natural Language Processing overview - Basic AI concepts and terminology |
WGU Practical Applications of Prompt QFO1 Sample Questions:
A person wants to use an AI model to predict the winner of an athletic event. The person repeatedly prompts the model until it chooses the person's favorite athlete as the winner. What is the type of bias described in the scenario?
- A. Sampling bias
- B. Measurement bias
- C. Confirmation bias
- D. Algorithmic bias
Correct Answer: C 🗳️
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Which challenge comes with the use of generative AI for data sorting?
- A. Categorizing data based on multiple criteria
- B. Preventing training biases and inaccuracies
- C. Analyzing data that is text-based or unstructured
- D. Preventing data from becoming corrupted
Correct Answer: B 🗳️
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Which prompting technique encourages exploration before choosing a most suitable response?
- A. Tree of thought (TOT)
- B. Few-Shot
- C. Cognitive verifier pattern
- D. Generated knowledge
Correct Answer: A 🗳️
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A lawyer needs to interact with a database to search for cases relating to college admissions. What is a benefit of writing effective prompts when interacting with the database?
- A. Greater capacity for unstructured data storage
- B. Automatic expansion to include more data
- C. Prevention of sifting through irrelevant results
- D. Data modification for improved applicability
Correct Answer: C 🗳️
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A user uses an AI model to predict weather patterns. However, the model consistently predicts temperatures that are off by about five degrees. Which form of bias is associated with this phenomenon?
- A. Sampling bias
- B. Measurement bias
- C. Confirmation bias
- D. Selection bias
Correct Answer: B 🗳️
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