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 should you write a PRD before touching any AI tool?
2.In Cursor, what does "Composer mode" allow you to do?
3.In the GCES framework, what is the purpose of defining "Anti-Features" in your PRD?
4.When the AI enters a "fix loop" - fixing one bug but creating another - what does the course recommend?
5.What is the "Golden Rule of Iteration" taught in the course?
6.What is the key difference between Supabase and Firebase?
7.What makes Claude Code and Antigravity fundamentally different from Cursor?
8.If you accidentally commit an API key to GitHub, what should you do?
9.Why would someone choose Ollama over cloud-based AI models?
10.When using Lovable.dev, the course teaches you to prompt for what first, before backend logic?
11.The "Debugging Trifecta" requires providing three things to the AI. What are they?
12.A TypeError: "Cannot read properties of undefined (reading 'map')" most likely means:
13.What is "Negative Space Prompting"?
14.What is an ORM like Prisma or Drizzle?
15.What is the correct rule file name for Antigravity (Google DeepMind)?