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.What is the "Golden Rule of Iteration" taught in the course?
2.If you accidentally commit an API key to GitHub, what should you do?
3.Why would someone choose Ollama over cloud-based AI models?
4.In the GCES framework, what is the purpose of defining "Anti-Features" in your PRD?
5.What DNS record type do you typically add to point your custom domain to a hosting platform?
6.What is the key difference between Supabase and Firebase?
7.What is an ORM like Prisma or Drizzle?
8.What is "Negative Space Prompting"?
9.What is the correct rule file name for Antigravity (Google DeepMind)?
10.When the AI enters a "fix loop" - fixing one bug but creating another - what does the course recommend?
11.Why should you write a PRD before touching any AI tool?
12.The course teaches that every push to main on Vercel triggers what?
13.What makes Claude Code and Antigravity fundamentally different from Cursor?
14.In Cursor, what does "Composer mode" allow you to do?
15.A TypeError: "Cannot read properties of undefined (reading 'map')" most likely means: