easyMultiple Choice
AIF-C01 Practice Question: A social media platform uses an AI system to…
A social media platform uses an AI system to moderate content. They want to ensure that human reviewers can review decisions when the AI is uncertain. Which AWS service can be used to set up a human review workflow for AI predictions?
⚠ Common exam trap
AIF-C01 often tests the confusion between SageMaker Ground Truth (dataset labeling) and Amazon A2I (production human-in-the-loop review), so candidates must match the use case to the correct service.
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) is purpose-built to integrate human review into ML workflows, allowing you to define review workflows that trigger when model confidence is low. It integrates natively with Amazon Rekognition, Textract, and custom models via the A2I API, and routes uncertain predictions to human reviewers. This directly matches the requirement for human review of AI moderation decisions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Amazon Mechanical Turk
Why it's wrong here
Mechanical Turk crowdsources tasks to anonymous workers, offering no integration with AI prediction confidence thresholds or audit trails. It is tempting for cheap human labelling, and would be correct for bulk data annotation, not for reviewing individual uncertain inferences via Amazon A2R.
- ✗
AWS Lambda
Why it's wrong here
Lambda executes code in response to events; it cannot present prediction results to human reviewers or collect their judgements. It is tempting because it orchestrates workflow steps, and would be correct as the glue invoking Amazon A2R Augmented AI once a review loop already exists.
- ✗
Amazon SageMaker Ground Truth
Why it's wrong here
Ground Truth builds labelled datasets and manages private labelling workforces for training data, not runtime review of individual model inferences. It would be the right service when curating training examples, whereas A2I provides the human review workflow for live predictions.
- ✓
Amazon Augmented AI (A2I)
Why this is correct
Amazon Augmented AI builds human review workflows into ML applications, routing low-confidence predictions to reviewers. It directly satisfies the requirement to let humans review decisions when the AI is uncertain, integrating with Amazon Rekognition and custom models.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
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.