Crucial Exams

AWS Certified AI Practitioner AIF-C01 Practice Question

In responsible AI discussions, teams often contrast transparent models with explainable models. Which statement best captures the distinction between these two terms?

  • A transparent model exposes its internal decision logic, while an explainable model may offer understandable reasons for outputs even if its inner workings remain hidden.

  • Transparent models first require post-hoc techniques to be understood, whereas explainable models automatically reveal their learned weights to users.

  • Both transparent and explainable models keep their internal logic hidden and only provide confidence scores for predictions.

  • Explainable models concern source code openness, whereas transparent models focus solely on data licensing requirements.

AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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