MLA-C01 ML Model Development Practice Question
A data scientist is training a linear learner model using SageMaker and notices that the loss is not decreasing. They suspect the issue is exploding gradients. Which SageMaker Debugger rule should they enable to monitor this?
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
✓
ExplodingGradients
The ExplodingGradients rule tracks gradient values and alerts if they exceed a threshold, which is the correct detection for exploding gradients.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
LossNotDecreasing
Why it's wrong here
Monitors loss, not gradients; doesn't identify the cause.
- ✓
ExplodingGradients
Why this is correct
Monitors for gradients that become excessively large.
- ✗
VanishingGradients
Why it's wrong here
Detects gradients approaching zero, not exploding.
- ✗
Overfit
Why it's wrong here
Overfit rule monitors overfitting, not gradient issues.
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