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.What is a "database migration"?
5.Why should you write a PRD before touching any AI tool?
6.When the AI enters a "fix loop" - fixing one bug but creating another - what does the course recommend?
7.The course teaches that every push to main on Vercel triggers what?
8.What is the "Golden Rule of Iteration" taught in the course?
9.What is "Negative Space Prompting"?
10.What DNS record type do you typically add to point your custom domain to a hosting platform?
11.What is the key difference between Supabase and Firebase?
12.What is an ORM like Prisma or Drizzle?
13.In Cursor, what does "Composer mode" allow you to do?
14.What is the correct rule file name for Antigravity (Google DeepMind)?
15.Why would someone choose Ollama over cloud-based AI models?