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MLA-C01 ML Model Development Practice Question

A company is using SageMaker Autopilot to automatically build a regression model on a dataset. They want to understand which features are most important for the model's predictions. Which feature of Autopilot can provide this insight?

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

Autopilot explainability report

SageMaker Autopilot can generate explainability reports that include feature importance, either through SHAP or other methods, depending on the model type.

Answer analysis

Option-by-option breakdown

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

  • Autopilot candidate definition notebook

    Why it's wrong here

    Notebook shows the generated code but not feature importance directly.

  • Autopilot model leaderboard

    Why it's wrong here

    Leaderboard shows candidate models with metrics, not feature importance.

  • Autopilot data exploration report

    Why it's wrong here

    Data exploration report provides statistical summaries but not feature importance from the model.

  • Autopilot explainability report

    Why this is correct

    Explainability report provides feature importance and partial dependence plots for the best model.

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Written by Johnson Ajibi, MSc IT Security

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