Original practice questions based on this certification's published exam topics — not real exam questions.
1. When choosing between Claude models for a solution, what's a key tradeoff to weigh?
2. Why is data handling policy important when designing an AI solution?
3. What's a common way to reduce cost in a production AI solution?
4. What is an architecture pattern often used to ground model responses in your own data?
5. Why might an architect add rate limiting to an AI-powered API?