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MLA-C01 Practice Question: A company deploys a model on Amazon SageMaker for…
A company deploys a model on Amazon SageMaker for real-time inference. The inference latency is too high. The model is a large deep learning model. The company wants to reduce latency without significantly impacting accuracy. Which approach should the company consider?
⚠ Common exam trap
AWS often tests the misconception that reducing instance size or increasing batch size directly reduces latency, when in fact these actions typically increase latency or degrade throughput for real-time inference.
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 SageMaker Inference Recommender to test different instance types and optimizations.
SageMaker Inference Recommender is designed specifically to automate load testing and benchmarking across various instance types and model optimizations (e.g., Elastic Inference, GPU acceleration, serialization formats). It provides latency and throughput metrics to identify the optimal configuration for reducing inference latency while maintaining accuracy, making it the correct choice for a large deep learning model with high latency.
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 the batch size for inference.
Why it's wrong here
Larger batch sizes can increase latency due to longer processing time per request.
- ✗
Use a smaller instance type to reduce inference time.
Why it's wrong here
Smaller instances may have less compute power, increasing latency.
- ✓
Use SageMaker Inference Recommender to test different instance types and optimizations.
Why this is correct
Inference Recommender helps find the optimal configuration for low latency.
- ✗
Enable SageMaker Model Monitor to detect performance issues.
Why it's wrong here
Model Monitor is for data and model drift, not latency optimization.
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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.