MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company uses SageMaker to train a model. The training job is taking too long and the data scientist wants to speed it up. Which THREE strategies should the data scientist consider? (Select THREE.)
⚠ Common exam trap
The trap here is that candidates may incorrectly select 'Increase the batch size' (Option E) as a guaranteed speed-up, overlooking that it requires hyperparameter tuning and can cause convergence problems, while the question asks for strategies that are directly and reliably effective.
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
✓
Use a GPU instance type like ml.p3.2xlarge
GPU instances like ml.p3.2xlarge are optimized for parallel computation, significantly accelerating the training of deep learning models by handling matrix operations more efficiently than CPUs. SageMaker supports a range of GPU instances (e.g., ml.p3, ml.p4, ml.g5) that can reduce training time for compute-intensive workloads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Reduce the number of training epochs
Why it's wrong here
Reducing epochs may degrade model accuracy.
- ✓
Use a GPU instance type like ml.p3.2xlarge
Why this is correct
GPUs accelerate training for deep learning.
- ✓
Use distributed training with multiple instances
Why this is correct
Parallel processing reduces training time.
- ✓
Use Pipe input mode to stream data from S3
Why this is correct
Pipe mode reduces download time.
- ✗
Increase the batch size in the training script
Why it's wrong here
Increasing batch size may cause memory issues, not necessarily faster.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MLS-C01 exam.