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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