MLS-C01 Modeling Practice Question
A company wants to use Amazon SageMaker to automatically tune hyperparameters for a XGBoost model. Which built-in SageMaker feature should be used?
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
✓
SageMaker Automatic Model Tuning
SageMaker Automatic Model Tuning performs hyperparameter optimization. Option A (SageMaker Debugger) monitors training. Option B (SageMaker Model Monitor) detects drift. Option C (SageMaker Experiments) tracks trials. Option D (SageMaker Automatic Model Tuning) correctly performs hyperparameter tuning.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
SageMaker Debugger
Why it's wrong here
Debugger monitors training, not tunes.
- ✗
SageMaker Model Monitor
Why it's wrong here
Model Monitor detects data drift, not hyperparameter tuning.
- ✗
SageMaker Experiments
Why it's wrong here
Experiments track and compare runs, not tune.
- ✓
SageMaker Automatic Model Tuning
Why this is correct
This is the service for hyperparameter tuning.
Go deeper
Related to this question
About these practice questions
Courseiva writes every MLS-C01 question from scratch — 1,672 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 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.