Graded Quiz: Prompt Engineering: Techniques and Approaches :Generative AI: Prompt Engineering Basics (Generative AI for UI UX Design Specialization) Answers 2026

Question 1

A user wants help selecting a car using an AI system. What is the advantage of using an interview pattern prompt?

❌ The AI filters out most questions for simplicity.
❌ The AI gives the cheapest car without explanation.
❌ The AI provides standard answers based on car popularity.
✅ The AI gathers preferences through dialogue to suggest options.

Question 2

To get detailed legal information from a model, what technique ensures accurate output?

❌ Focus only on emotional framing
❌ Let the model generate whatever it finds
❌ Use basic questions applicable to all users
✅ Embed legal terminology and references in the prompt

Question 3

To ensure AI does not favor any demographic in hiring recommendations, which technique should be used?

❌ Random sampling
❌ Framing with personal anecdotes
❌ Domain expertise
✅ Bias mitigation

Question 4

Which prompt best supports Chain-of-Thought reasoning for algebra problems?

❌ Provide a list of similar problems without answers
✅ Include solved examples with explanation
❌ Include the answer only with no context
❌ Use humor to encourage problem-solving

Question 5

For a legal assistant chatbot that must explore multiple user-specific paths, what is the best approach?

❌ Give all actions in a bullet list without explanation
❌ Ask the user to choose a category first
❌ Use yes/no questions
✅ Prompt the model to explore each option with pros and cons

Question 6

Writing multiple resume summaries, critiquing them, and selecting the best uses which method?

❌ Tree-of-thought
❌ Bias mitigation
✅ Playoff method with self-evaluation
❌ Zero-shot prompt chaining

Question 7

A student uploads a graph and asks for interpretation and suggestions. What prompt type is required?

✅ Multimodal prompt combining the image and question
❌ Provide only image metadata
❌ Chain-of-thought with math formulas
❌ Domain prompt using only text

🧾 Summary Table