mediumMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A company uses Amazon SageMaker Ground Truth to…
A company uses Amazon SageMaker Ground Truth to label images for object detection. They want to minimize labeling costs while maintaining high accuracy. Which feature should they enable?
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
✓
Active learning to automatically select samples for labeling
Active learning in Ground Truth selects the most informative images for labeling, reducing the number of labels needed while maintaining model quality.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Active learning to automatically select samples for labeling
Why this is correct
Active learning prioritizes samples where the model is uncertain, reducing labeling effort.
- ✗
Use of mechanical turk for all labeling
Why it's wrong here
Using a workforce without active learning can be more expensive.
- ✗
Pre-built annotation workflows for bounding boxes
Why it's wrong here
Pre-built workflows improve efficiency but do not reduce the number of labels needed.
- ✗
Automated data labeling with AWS Lambda
Why it's wrong here
Lambda does not provide intelligent sample selection; it just automates tasks.
Go deeper
Related to this question
About these practice questions
Courseiva writes every MLA-C01 question from scratch — 835 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLA-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 MLA-C01 exam.