AIF-C01 Fundamentals of AI and ML Practice Question
A company is using Amazon Rekognition to detect objects in images. They need to detect custom objects that are specific to their domain. What should they do?
⚠ Common exam trap
Candidates often confuse Amazon Rekognition Custom Labels with SageMaker Object Detection, not realizing that Custom Labels is a managed service specifically designed for custom image analysis without requiring ML expertise.
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
✓
Use Amazon Rekognition Custom Labels
Amazon Rekognition Custom Labels allows you to train a custom model using your own labeled images to detect domain-specific objects that are not covered by Rekognition's built-in labels. This is the correct service for custom object detection without needing to build a model from scratch.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Amazon Rekognition's built-in labels
Why it's wrong here
Built-in labels only detect predefined categories.
- ✗
Use Amazon SageMaker Object Detection algorithm
Why it's wrong here
This is possible but not specific to Rekognition; Custom Labels is the managed service.
- ✓
Use Amazon Rekognition Custom Labels
Why this is correct
Custom Labels enables training a custom model with labeled images.
- ✗
Use Amazon Comprehend
Why it's wrong here
Comprehend is for NLP, not image analysis.
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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.