easyMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A company deploys a deep learning model to a…
A company deploys a deep learning model to a real-time SageMaker endpoint. After deployment, users report high inference latency. Which action is the MOST effective first step to reduce latency?
⚠ Common exam trap
Many exam-takers confuse latency reduction with throughput improvement, incorrectly choosing horizontal scaling (Option D) or vertical scaling (Option A) as the first step, when model optimization via compilation is the most direct and cost-effective approach.
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
✓
Compile the model using SageMaker Neo to optimize for the target instance.
SageMaker Neo compiles the trained model to optimize it for the target instance hardware, reducing inference latency without requiring additional resources. This is the most effective first step because it directly addresses model execution efficiency, often yielding significant speedups for deep learning models.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Switch to a larger instance type with more GPU memory.
Why it's wrong here
A larger instance may reduce latency but increases cost; not the most effective first step.
- ✓
Compile the model using SageMaker Neo to optimize for the target instance.
Why this is correct
Neo optimizes the model for the specific hardware, reducing inference latency with minimal accuracy loss.
- ✗
Enable SageMaker Model Monitor to capture inference data.
Why it's wrong here
Model Monitor is for monitoring data and model quality, not for reducing latency.
- ✗
Increase the number of instances in the endpoint to handle more requests.
Why it's wrong here
Increasing instances improves throughput but does not reduce per-request latency.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLA-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 MLA-C01 exam.