MLS-C01 Modeling Practice Question
A data scientist is using Amazon SageMaker to train a deep learning model. The training job is taking too long. Which THREE actions can reduce training time?
⚠ Common exam trap
Test-takers frequently confuse cost-saving techniques (like Spot Instances) with performance-improving techniques, or they mistakenly think decreasing batch size always speeds up training, when in fact it can slow it down due to increased overhead.
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 incremental training to continue from a previous model
Incremental training allows you to start from a previously trained model, which reduces training time because the model does not need to learn from scratch. SageMaker's incremental training loads the existing model artifacts and continues training on new data, significantly cutting down the time required to converge compared to full retraining.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use incremental training to continue from a previous model
Why this is correct
Incremental training starts from an existing model, requiring fewer epochs.
- ✗
Use Spot Instances to reduce cost
Why it's wrong here
Spot Instances do not reduce training time; they may cause interruptions.
- ✓
Use Pipe input mode to stream data directly from Amazon S3
Why this is correct
Pipe mode reduces I/O wait time by streaming data directly to the algorithm.
- ✗
Decrease the batch size to reduce memory usage
Why it's wrong here
Smaller batch size often increases training time per epoch.
- ✓
Use a GPU instance type for faster computation
Why this is correct
GPUs accelerate matrix operations, reducing training time for deep learning.
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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.