Answer at least 13 out of 15 questions correctly to earn your certificate. Questions are randomly selected from a larger bank — each attempt is different.
1.When using Lovable.dev, the course teaches you to prompt for what first, before backend logic?
2.The "Debugging Trifecta" requires providing three things to the AI. What are they?
3.If you accidentally commit an API key to GitHub, what should you do?
4.A TypeError: "Cannot read properties of undefined (reading 'map')" most likely means:
5.In the GCES framework, what is the purpose of defining "Anti-Features" in your PRD?
6.What is "Negative Space Prompting"?
7.What is the key difference between Supabase and Firebase?
8.In Cursor, what does "Composer mode" allow you to do?
9.What is the "Golden Rule of Iteration" taught in the course?
10.What is a "database migration"?
11.The course teaches that every push to main on Vercel triggers what?
12.Why should you write a PRD before touching any AI tool?
13.What makes Claude Code and Antigravity fundamentally different from Cursor?
14.Why would someone choose Ollama over cloud-based AI models?
15.What DNS record type do you typically add to point your custom domain to a hosting platform?