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MLA-C01 ML Model Development Practice Question

A data scientist is training an object detection model using SageMaker built-in Object Detection algorithm. They want to visualize the bounding boxes on validation images after training. Which approach should they use?

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

Write a custom inference script that saves images with bounding boxes

Answer analysis

Option-by-option breakdown

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

  • Use SageMaker Debugger to capture output tensors

    Why it's wrong here

    Debugger captures tensors for debugging, not for visualization of predictions.

  • Write a custom inference script that saves images with bounding boxes

    Why this is correct

    A custom script can run inference and save annotated images.

  • Enable SageMaker Model Monitor

    Why it's wrong here

    Model Monitor detects drift, not visualization.

  • Use SageMaker Clarify

    Why it's wrong here

    Clarify is for bias and explainability, not visualization.

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