Crucial Exams

AWS Certified AI Practitioner AIF-C01 Practice Question

A development team integrates an Amazon Bedrock foundation model into a customer-facing app. To keep requests consistent, every call is built from a fixed text pattern that contains placeholders such as <customer_name> and . At runtime the placeholders are replaced with user-specific values before being sent to the model. Which prompt-engineering technique does this approach demonstrate?

  • Applying a prompt template with runtime variable substitution

  • Zero-shot prompting that supplies no worked examples

  • Chain-of-thought prompting that requests the model's reasoning steps

  • Few-shot prompting that embeds several demonstration examples

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Wipe Score
Bash, the Crucial Exams Chat Bot
AI Bot