MLA-C01 ML Model Development Practice Question

Which SageMaker feature provides AutoML capabilities, including automatic data preprocessing, model selection, and hyperparameter tuning?

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 Autopilot

SageMaker Autopilot automates the ML pipeline from data to model, including preprocessing, algorithm selection, and tuning.

Answer analysis

For each option: why learners choose it and why it is or isn't the right answer here.

✗
SageMaker Data Wrangler
Why it's wrong here
Data Wrangler is for data preparation, not AutoML.
✗
SageMaker Automatic Model Tuning
Why it's wrong here
Only tunes hyperparameters for a given algorithm, not full AutoML.
✓
SageMaker Autopilot
Why this is correct
Autopilot automates the entire ML workflow.
✗
SageMaker Experiments
Why it's wrong here
Experiments track runs, not automate them.

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