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Fundamentals of AI and MLeasyMultiple ChoiceObjective-mapped

AIF-C01 Fundamentals of AI and ML Practice Question

A company is using Amazon SageMaker to train a model. They want to automatically stop training if the model performance stops improving on a validation dataset. Which SageMaker feature should they enable?

⚠ Common exam trap

The AIF-C01 exam often tests the distinction between monitoring (Debugger) and automated stopping (early stopping in hyperparameter tuning), so candidates mistakenly choose Debugger because it 'monitors' performance, but it lacks the built-in auto-stop capability that hyperparameter tuning provides.

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

Early stopping in hyperparameter tuning

Amazon SageMaker's hyperparameter tuning jobs support an 'early stopping' feature that automatically halts training when the model's performance on the validation dataset ceases to improve. This is enabled by setting the `EarlyStoppingType` parameter to `Auto` or `Off` in the tuning job configuration, which uses algorithms like median stopping or Bayesian optimization to detect convergence and prevent wasted compute.

Answer analysis

Option-by-option breakdown

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

  • Early stopping in hyperparameter tuning

    Why this is correct

    Early stopping terminates poorly performing training jobs based on validation metrics.

  • SageMaker Experiments

    Why it's wrong here

    Experiments track and organize training runs but do not stop them automatically.

  • SageMaker Debugger

    Why it's wrong here

    Debugger monitors and debugs training, but does not automatically stop training.

  • SageMaker Model Monitor

    Why it's wrong here

    Model Monitor detects data drift after deployment, not during training.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AIF-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 AIF-C01 exam.