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.Why would someone choose Ollama over cloud-based AI models?
2.What is the correct rule file name for Antigravity (Google DeepMind)?
3.When using Lovable.dev, the course teaches you to prompt for what first, before backend logic?
4.Why should you write a PRD before touching any AI tool?
5.What is "Negative Space Prompting"?
6.What is a "database migration"?
7.If you accidentally commit an API key to GitHub, what should you do?
8.What makes Claude Code and Antigravity fundamentally different from Cursor?
9.What is an ORM like Prisma or Drizzle?
10.The "Debugging Trifecta" requires providing three things to the AI. What are they?
11.In the GCES framework, what is the purpose of defining "Anti-Features" in your PRD?
12.What DNS record type do you typically add to point your custom domain to a hosting platform?
13.The course teaches that every push to main on Vercel triggers what?
14.A TypeError: "Cannot read properties of undefined (reading 'map')" most likely means:
15.What is the "Golden Rule of Iteration" taught in the course?