MLA-C01 ML Model Development Practice Question
A team is fine-tuning a foundation model using LoRA in SageMaker. They want to reduce memory usage during training. Which instance type is optimized for cost-effective fine-tuning with LoRA?
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
✓
ml.g5.2xlarge
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
ml.g5.2xlarge
Why this is correct
g5 instances offer a good balance of performance and cost for fine-tuning with LoRA.
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ml.p3.2xlarge
Why it's wrong here
p3 instances are older and more expensive for this task.
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ml.c5.2xlarge
Why it's wrong here
c5 instances are compute-optimized but lack GPU, not suitable for fine-tuning.
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ml.trn1.2xlarge
Why it's wrong here
Trn1 is designed for training large models from scratch, overkill for LoRA.
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