MLA-C01 ML Model Development Practice Question
A machine learning engineer is using SageMaker Debugger to monitor training jobs. They want to capture tensors every 100 steps but only for the first 500 steps. Which configuration should they set in the Debugger hook?
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
✓
collection_configs with save_interval=100 and end_step=500
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
collection_configs with save_interval=500 and end_step=100
Why it's wrong here
This would save every 500 steps and stop at step 100, which is the opposite.
- ✗
collection_configs with start_step=100 and end_step=500
Why it's wrong here
This would save every step between 100 and 500, not every 100 steps.
- ✓
collection_configs with save_interval=100 and end_step=500
Why this is correct
This configures saving every 100 steps and stopping after step 500.
- ✗
Use SageMaker Debugger rules to filter steps
Why it's wrong here
Rules can detect issues but do not control tensor saving frequency.
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