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MLA-C01 Practice Question: A company uses Amazon SageMaker Ground Truth to…
A company uses Amazon SageMaker Ground Truth to create a labeled dataset. They want to monitor the accuracy of human labelers during the labeling process. Which metric should they track?
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
✓
Accuracy against blinded ground truth
Tracking accuracy against blinded ground truth (known as audit tasks) is the standard way to measure labeler performance. Options A and B are operational metrics not directly measuring accuracy. Option D is not directly accuracy.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Labeling job cost
Why it's wrong here
Cost does not reflect labeler accuracy.
- ✗
Number of tasks completed
Why it's wrong here
Quantity does not measure quality.
- ✓
Accuracy against blinded ground truth
Why this is correct
Ground Truth inserts known ground truth tasks to audit labelers; tracking accuracy on these tasks measures labeler performance.
- ✗
Task acceptance rate
Why it's wrong here
Acceptance rate is about labeler willingness, not accuracy.
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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.