MLA-C01 ML Model Development Practice Question
A team is fine-tuning a Hugging Face BERT model for text classification using SageMaker. They want to use the Hugging Face estimator for convenience. Which parameter must be set to use a custom training script?
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
✓
entry_point
The entry_point parameter specifies the path to the training script. The instance_type is for hardware selection. The hyperparameters dictionary passes parameters to the script. The framework_version specifies the Hugging Face version.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
framework_version
Why it's wrong here
framework_version is for the Hugging Face version.
- ✗
instance_type
Why it's wrong here
instance_type is required but not for the script.
- ✗
hyperparameters
Why it's wrong here
hyperparameters are passed to the script but do not specify the script itself.
- ✓
entry_point
Why this is correct
entry_point points to the custom training script.
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