,WGU D685 – Practical Applications of Prompt Engineering Objective Assessment | OA Pack |
Full Questions and Answers | 2026 Updated | 100% Correct.
1. What is the primary goal of prompt engineering?
A. Building hardware for AI systems
B. Writing code for databases
C. Designing inputs that guide AI toward desired outputs
D. Replacing machine learning algorithms
Answer: C
Explanation: Prompt engineering focuses on creating effective instructions that help AI
generate accurate, relevant, and useful responses.
2. Which prompting technique provides examples within the
prompt?
A. Zero-shot prompting
B. Few-shot prompting
C. Recursive prompting
D. Random prompting
Answer: B
Explanation: Few-shot prompting includes sample examples to guide the model toward the
expected format or reasoning style.
3. What is an example of zero-shot prompting?
A. Giving three examples before asking a question
B. Asking AI to complete a task without examples
C. Training an AI model with new datasets
D. Using reinforcement learning
Answer: B
Explanation: Zero-shot prompting asks the AI to perform a task without prior demonstrations.
4. Which characteristic makes a prompt more effective?
,A. Vagueness
B. Ambiguity
C. Specificity
D. Random wording
Answer: C
Explanation: Clear and specific prompts improve response accuracy and consistency.
5. What is a hallucination in generative AI?
A. AI shutting down unexpectedly
B. AI generating false or fabricated information
C. AI refusing to answer
D. AI deleting data
Answer: B
Explanation: Hallucinations occur when AI confidently produces incorrect or fictional
information.
6. Which AI model type powers tools like ChatGPT?
A. Spreadsheet model
B. Large Language Model (LLM)
C. Relational database model
D. Waterfall model
Answer: B
7. Why is prompt iteration important?
A. It decreases computing power
B. It improves outputs through refinement
C. It replaces datasets
D. It eliminates AI bias completely
Answer: B
, 8. Which prompt is BEST for generating a professional
email?
A. “Write email.”
B. “Make something about work.”
C. “Write a professional email requesting a project deadline extension due to unexpected
technical issues.”
D. “Deadline problem.”
Answer: C
9. What is tokenization in AI?
A. Encrypting passwords
B. Splitting text into smaller processable units
C. Compressing files
D. Building spreadsheets
Answer: B
10. Which issue is MOST associated with biased AI outputs?
A. Hardware failure
B. Poor internet connection
C. Biased training data
D. Excessive memory usage
Answer: C
Scenario-Based Questions
11. A company wants AI to summarize meeting notes
consistently. Which strategy should they use?
A. Vague prompts
B. Structured prompts with formatting instructions
Full Questions and Answers | 2026 Updated | 100% Correct.
1. What is the primary goal of prompt engineering?
A. Building hardware for AI systems
B. Writing code for databases
C. Designing inputs that guide AI toward desired outputs
D. Replacing machine learning algorithms
Answer: C
Explanation: Prompt engineering focuses on creating effective instructions that help AI
generate accurate, relevant, and useful responses.
2. Which prompting technique provides examples within the
prompt?
A. Zero-shot prompting
B. Few-shot prompting
C. Recursive prompting
D. Random prompting
Answer: B
Explanation: Few-shot prompting includes sample examples to guide the model toward the
expected format or reasoning style.
3. What is an example of zero-shot prompting?
A. Giving three examples before asking a question
B. Asking AI to complete a task without examples
C. Training an AI model with new datasets
D. Using reinforcement learning
Answer: B
Explanation: Zero-shot prompting asks the AI to perform a task without prior demonstrations.
4. Which characteristic makes a prompt more effective?
,A. Vagueness
B. Ambiguity
C. Specificity
D. Random wording
Answer: C
Explanation: Clear and specific prompts improve response accuracy and consistency.
5. What is a hallucination in generative AI?
A. AI shutting down unexpectedly
B. AI generating false or fabricated information
C. AI refusing to answer
D. AI deleting data
Answer: B
Explanation: Hallucinations occur when AI confidently produces incorrect or fictional
information.
6. Which AI model type powers tools like ChatGPT?
A. Spreadsheet model
B. Large Language Model (LLM)
C. Relational database model
D. Waterfall model
Answer: B
7. Why is prompt iteration important?
A. It decreases computing power
B. It improves outputs through refinement
C. It replaces datasets
D. It eliminates AI bias completely
Answer: B
, 8. Which prompt is BEST for generating a professional
email?
A. “Write email.”
B. “Make something about work.”
C. “Write a professional email requesting a project deadline extension due to unexpected
technical issues.”
D. “Deadline problem.”
Answer: C
9. What is tokenization in AI?
A. Encrypting passwords
B. Splitting text into smaller processable units
C. Compressing files
D. Building spreadsheets
Answer: B
10. Which issue is MOST associated with biased AI outputs?
A. Hardware failure
B. Poor internet connection
C. Biased training data
D. Excessive memory usage
Answer: C
Scenario-Based Questions
11. A company wants AI to summarize meeting notes
consistently. Which strategy should they use?
A. Vague prompts
B. Structured prompts with formatting instructions
