MLS-C01 Modeling Practice Question
A team is using Amazon SageMaker to train a deep learning model. The training job is taking too long, and they want to reduce training time without significant accuracy loss. They have already tried increasing the number of instances. Which technique should they consider next?
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
✓
Gradient accumulation
Gradient accumulation, is correct because it allows the use of larger effective batch sizes without increasing memory usage, which can lead to faster convergence and reduced training time. Option A, increasing L2 regularization, does not directly reduce training time; it helps prevent overfitting. Option B, reducing model complexity, can reduce training time but may cause significant accuracy loss due to underfitting. Option D, early stopping, can reduce training time by stopping training early but does not address the core issue of slow training per epoch; it may also halt training before convergence, risking accuracy loss.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase L2 regularization
Why it's wrong here
Regularization does not reduce training time.
- ✗
Reduce model complexity
Why it's wrong here
Reducing complexity may cause underfitting.
- ✓
Gradient accumulation
Why this is correct
Gradient accumulation simulates larger batch sizes, improving convergence speed.
- ✗
Early stopping
Why it's wrong here
Early stopping stops training early but does not reduce per-epoch time.
Go deeper
Related to this question
About these practice questions
This MLS-C01 question is part of Courseiva's 1,672-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
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.