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AIF-C01 Practice Question: A company builds an AI system that generates…
A company builds an AI system that generates medical diagnoses. To ensure patient safety and allow oversight, the company wants a human to review all high-risk predictions before they are acted upon. Which AWS service should they use?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Augmented AI (A2I)
Amazon Augmented AI (A2I) enables human review workflows for ML predictions, allowing you to define conditions that trigger human review. SageMaker Ground Truth is for data labeling, not review workflows.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Lambda
Why it's wrong here
Lambda is a compute service; it can orchestrate workflows but does not provide built-in human review functionality.
- ✗
Amazon SageMaker Ground Truth
Why it's wrong here
Ground Truth is used for creating training data labels, not for reviewing model predictions.
- ✓
Amazon Augmented AI (A2I)
Why this is correct
A2I integrates with SageMaker or other ML services to route predictions for human review when confidence is low or other conditions are met.
- ✗
AWS Step Functions
Why it's wrong here
Step Functions orchestrates workflows but does not natively handle human review of ML predictions.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AIF-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AIF-C01 exam.