Final Exam: Introduction to Prompt Engineering
Comprehensive exam covering all 3 modules.
25 questions - Click to reveal answers.
Part 1: Understanding Prompts (Questions 1-8)
Q1: What is a prompt in the context of AI?
A) A computer program B) Your instruction to AI C) AI's memory D) A type of coding
Answer: B - A prompt is the instruction, question, or request you give to AI to guide its output.
Q2: Why is the quality of your prompt important?
A) AI charges by prompt quality B) It directly affects response quality C) It doesn't matter D) Only length matters
Answer: B - The quality of your prompt directly affects the quality of AI's response. Better prompts = better results.
Q3: What does "iteration" mean in prompting?
A) Repeating the same prompt B) Refining based on response C) Using loops D) Copying output
Answer: B - Iteration means refining your prompt based on AI's response to get progressively better results.
Q4: What happens when you give AI a vague prompt?
A) It refuses to respond B) It makes assumptions C) It asks clarifying questions D) It produces errors
Answer: B - With vague prompts, AI fills in gaps with assumptions that may not match what you wanted.
Q5: What is the "Prompt-Response Cycle"?
A) AI's processing time B) The back-and-forth of prompting and refining C) A programming concept D) AI's internal loop
Answer: B - The cycle of prompting, receiving a response, analyzing, and refining for better results.
Q6: The "10x difference" refers to:
A) Speed improvement B) The impact a good prompt has on quality C) AI processing power D) Word count
Answer: B - A well-crafted prompt can produce results 10x better than a vague one with the same AI.
Q7: How should you view AI's first response?
A) As perfect B) As a starting point C) As unusable D) As final
Answer: B - View the first response as a starting point or draft that you can refine and improve.
Q8: What is a "hallucination" in AI?
A) Visual effects B) Generated false information C) AI imagination D) Creative output
Answer: B - Hallucination is when AI generates false or fabricated information that sounds plausible.
Part 2: Writing Better Prompts (Questions 9-16)
Q9: What is the most important prompting skill?
A) Writing long prompts B) Being clear and specific C) Using jargon D) Being brief
Answer: B - Being clear and specific is the most fundamental skill in prompt engineering.
Q10: Instead of "write something short," you should say:
A) "Write briefly" B) "Write 100 words" C) "Keep it minimal" D) "Short please"
Answer: B - Specific numbers like "100 words" give clear guidance instead of subjective terms.
Q11: What does context provide to AI?
A) More speed B) Background to understand your situation C) Better grammar D) Nothing
Answer: B - Context provides background information that helps AI give relevant, personalized responses.
Q12: The "I am a..." pattern helps with:
A) Grammar B) Quickly establishing relevant context C) Speed D) Word count
Answer: B - Starting with "I am a [role]" quickly establishes who you are and what context applies.
Q13: What is "few-shot learning"?
A) Quick responses B) Providing examples in your prompt C) Short prompts D) Rapid iteration
Answer: B - Few-shot learning means providing examples to show AI the pattern or style you want.
Q14: How many examples work best for few-shot learning?
A) 10+ B) 2-3 usually C) Just 1 always D) 0
Answer: B - 2-3 high-quality, consistent examples usually provide the best results.
Q15: When is providing examples most helpful?
A) Never B) When format/style is hard to describe C) Always D) Only for code
Answer: B - Examples are most helpful when the format, style, or pattern is difficult to describe in words.
Q16: What aspects can you control with a prompt?
A) Only topic B) Length, format, tone, audience, focus C) Only length D) Nothing
Answer: B - You can control many aspects including length, format, tone, target audience, and specific focus.
Part 3: Practical Applications (Questions 17-25)
Q17: What makes an effective email prompt?
A) Just "write an email" B) Recipient, topic, tone, length C) Only the subject D) Just the message
Answer: B - Effective email prompts specify recipient, topic, tone, and length for best results.
Q18: The comparison prompt is useful for:
A) Grammar checking B) Systematically comparing options C) Writing poetry D) Debugging code
Answer: B - Comparison prompts help systematically evaluate options based on criteria that matter to you.
Q19: What's wrong with "make it better"?
A) It's polite B) It's too vague - specify how C) AI doesn't understand it D) Nothing wrong
Answer: B - "Make it better" is too vague. Specify what kind of improvement you want.
Q20: "Overloading" a prompt means:
A) Making it long B) Too many conflicting requirements C) Using big words D) Asking nicely
Answer: B - Overloading means including too many requirements, especially conflicting ones.
Q21: After AI generates content, you should:
A) Publish immediately B) Review, edit, verify facts C) Ignore it D) Delete it
Answer: B - Always review AI output, edit for your voice, and verify any important facts.
Q22: The problem breakdown prompt helps when:
A) Problems are simple B) Problems feel overwhelming C) You know the answer D) Never
Answer: B - Problem breakdown prompts help divide overwhelming problems into manageable pieces.
Q23: If AI's response has the wrong tone, you should:
A) Give up B) Ask for a rewrite in the desired tone C) Accept it D) Report a bug
Answer: B - Simply ask AI to rewrite in the tone you want. This is effective iteration.
Q24: The master formula includes:
A) Just the task B) Task, Format, Audience, Context, Specifics C) Only questions D) Random elements
Answer: B - The master formula covers Task, Format, Audience, Context, and Specifics (include/avoid/tone).
Q25: The key insight of this entire course is:
A) AI is perfect B) Better prompts lead to dramatically better results C) AI can't help D) Prompts don't matter
Answer: B - The core insight is that the quality of your prompts directly determines the quality of AI's output.
Scoring
| Score | Grade | Level |
|---|---|---|
| 23-25 | A | Excellent - You've mastered prompt engineering basics! |
| 20-22 | B | Good - Strong foundation, minor review needed |
| 17-19 | C | Satisfactory - Review weaker areas |
| 14-16 | D | Needs improvement - More study recommended |
| Below 14 | F | Comprehensive review needed |
Certificate of Completion
Scoring 20+ on this exam demonstrates solid understanding of prompt engineering fundamentals and practical applications.
What You've Learned
By completing this course, you now know how to:
✅ Write clear, specific prompts that get results
✅ Provide useful context for personalized responses
✅ Use examples to show AI what you want
✅ Iterate to improve outputs
✅ Apply prompts to writing and problem-solving
✅ Avoid common prompting mistakes
What's Next?
- 📚 Review the Glossary for term refreshers
- 🔗 Explore Resources for more learning
- 🚀 Practice daily with real tasks
- 📈 Keep refining your prompting skills
Congratulations on completing Introduction to Prompt Engineering!
You're now equipped to get dramatically better results from AI.