Match each SageMaker feature to its description.
Drag a concept onto its matching description — or click a concept then click the description.
Managed compute to train a model
Host a model for real-time inference
Run inference on a batch of data
Jupyter notebook for exploration
Run data processing scripts
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Ground Truth: Build and manage training datasets with human labeling
The correct matches are: Ground Truth for dataset labeling, Neo for model optimization, Debugger for training monitoring, and Autopilot for automated model building. Common confusions include swapping Ground Truth and Neo, or mixing Debugger with Autopilot.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Ground Truth: Build and manage training datasets with human labeling
Why this is correct
Ground Truth provides human labeling services to create high-quality training datasets.
Neo: Optimize models for deployment on target hardware
Why this is correct
Neo optimizes trained models for specific hardware platforms to improve performance.
Debugger: Monitor and debug training jobs in real time
Why this is correct
Debugger provides real-time monitoring and debugging capabilities for training jobs.
Autopilot: Automatically build, train, and tune ML models
Why this is correct
Autopilot automates the process of building, training, and tuning machine learning models.
Ground Truth: Optimize models for deployment on target hardware
Why it's wrong here
Incorrect — this describes SageMaker Neo, not Ground Truth.
Neo: Build and manage training datasets with human labeling
Why it's wrong here
Incorrect — this describes SageMaker Ground Truth, not Neo.
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About these practice questions
One of 1,672 original MLS-C01 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLS-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 MLS-C01 exam.