"Testing yourself isn't just measuring learning — it's one of the best ways to strengthen it. Give these a real try before peeking."
Learning Objectives
By the end of this module, you will be able to:
- Check your understanding of the whole track
- Spot any topics worth revisiting
- Reinforce key ideas through active recall
How to Use This Quiz
Answer all 10 questions first — actually decide on your choice — then scroll to Answers & Explanations below to check. Getting one wrong is great news: it shows you exactly what to review.
There's real science behind doing it this way. When you pull an answer out of your own memory — even a shaky one — you strengthen the pathway to that idea far more than if you simply re-read the module. Researchers call this the "testing effect," and it's why a quick self-quiz beats another pass through your notes almost every time. So resist the urge to peek; a genuine guess, right or wrong, is doing more for you than a confident glance at the answer key.
Try this: Cover the answers and say your choice out loud (or jot it down) before scrolling. Active recall makes ideas stick far better than re-reading.
Concept: Treat a wrong answer as a gift, not a failure. Each miss is a precise signal — it points at the one module that will give you the biggest boost for the least effort. That's far more useful than a perfect score that tells you nothing new.
The Questions
1. What makes generative AI different from traditional AI?
- A. It runs faster
- B. It creates brand-new content from a prompt
- C. It only works with numbers
- D. It never makes mistakes
2. How does a large language model produce text?
- A. It looks up answers in a database
- B. It copies the closest webpage
- C. It predicts the next token, over and over
- D. It translates from a secret language
3. A "token" is best described as…
- A. A password for the AI
- B. A small chunk of text (roughly ¾ of a word)
- C. A type of AI model
- D. A payment method
4. When you chat with an AI assistant, the model is doing…
- A. Training
- B. Inference
- C. Downloading
- D. Debugging
5. A "hallucination" in Gen AI means…
- A. The AI crashes
- B. The AI confidently states something false
- C. The AI refuses to answer
- D. The AI repeats your prompt
6. Which change most improves a vague prompt?
- A. Making it shorter
- B. Typing in ALL CAPS
- C. Adding audience, format, and constraints
- D. Asking the same thing twice
7. What does RAG (Retrieval-Augmented Generation) do?
- A. Makes the model train faster
- B. Fetches trusted facts and gives them to the model before it answers
- C. Turns text into images
- D. Removes the need for prompts
8. How is an AI agent different from a basic chatbot?
- A. It can use tools and take actions to reach a goal
- B. It only works offline
- C. It cannot use language
- D. It is always cheaper
9. Which of these should you NOT paste into a public AI tool?
- A. A question about history
- B. A passage from a novel to summarize
- C. Passwords or confidential personal data
- D. A request for recipe ideas
10. For a high-stakes decision (health, legal, finance), you should…
- A. Trust the AI completely
- B. Keep a human in the loop to review the output
- C. Ask the AI to promise it's right
- D. Avoid reading the answer
Answers & Explanations
- B — Generative AI creates new content, while traditional AI mostly sorts or predicts. (Module 1)
- C — It repeatedly predicts the next token from learned patterns; it doesn't look answers up. (Module 2)
- B — Tokens are small text pieces, about ¾ of a word on average. (Module 2)
- B — Answering your prompt is inference; training happened once, earlier. (Module 2)
- B — A hallucination is confident, fluent, and false — verify important facts. (Modules 2 & 6)
- C — Adding audience, format, length, and constraints is what upgrades a prompt. (Module 3)
- B — RAG gives the model your trusted facts first (an "open-book exam") to reduce hallucinations. (Module 5)
- A — An agent can use tools and take actions in a loop, not just chat. (Module 5)
- C — Never paste secrets or confidential data into public tools; anonymize first. (Module 6)
- B — Keep a human in the loop for anything high-stakes: AI drafts, humans decide. (Module 6)
How did you do?
- 8–10: Excellent — you've got the fundamentals. On to the roadmap!
- 5–7: Solid start — revisit the modules behind any misses.
- 0–4: No worries — skim Modules 1, 2, and 6 again, then retry. You'll get there.
Key Takeaway: If you can answer these ten questions, you understand what Gen AI is, how LLMs work, how to prompt well, what RAG and agents are, and how to stay safe. Any misses point you straight to the module worth another look.