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WGU Practical-Applications-of-Prompt Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Foundations of Artificial Intelligence | - Basic AI concepts and terminology - Natural Language Processing overview |
| Applied Prompt Design | - Task-specific prompt construction - Domain-specific prompting scenarios |
| Evaluation and Ethics | - Bias, safety, and responsible AI use - Evaluating AI output quality |
| 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 is using generative AI to create a social media post. Why is it important to write an effective prompt?
A) The prompt ensures that the content is original.
B) The prompt prevents output that is nonsensical.
C) The prompt indicates how to customize the post for each reader.
D) The prompt ensures that the post will be well received.
2. Which programming software task is well-suited for artificial intelligence?
A) Adding comments to scripts
B) Specifying project structure
C) Suggesting code modifications
D) Performing user testing
3. Which key prompt component includes details about the history of a troubleshooting issue with a customer service chatbot?
A) Instructions
B) Input content
C) Persona
D) Context
4. What is an advantage of using Personas in prompt engineering?
A) Better memory of past conversations
B) Efficient use of system memory
C) Highly relevant responses
D) Greater response speed
5. A person provides the content of an email to an AI model and asks it to identify whether the email is a promotion. The person prompts the model repeatedly and takes the response most often provided. Which prompting technique is described?
A) Self-consistency
B) Generated knowledge
C) Chain of thought (COT)
D) Least to most
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: A |

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