AWS Certified AI Practitioner AIF-C01 Practice Question

Zero-shot prompting asks the foundation model to perform a task using only an instruction and any needed context, with no example inputs or outputs. This satisfies the team's goal of minimizing prompt length. Few-shot prompting embeds multiple examples, increasing token usage. Chain-of-thought prompting explicitly asks the model to show its reasoning steps, adding tokens rather than saving them. Prompt templates with variables provide a reusable structure but usually still require either examples or additional context to guide the model.