MLS-C01 Modeling Practice Question
A company wants to deploy a machine learning model that requires GPU acceleration for inference. The model is small and can fit on a single GPU. Which SageMaker endpoint configuration is MOST cost-effective?
⚠ Common exam trap
Test-takers frequently choose a larger GPU instance (like A) thinking it provides better performance, or select Serverless Inference (B) assuming it supports all instance types, but the exam tests the specific constraint that GPU acceleration is required and that Serverless Inference is CPU-only.
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 ml.p3.2xlarge instance with 1 GPU and enable automatic scaling.
The most cost-effective because it uses a single-GPU ml.p3.2xlarge instance, which matches the requirement that the model fits on one GPU, and enables automatic scaling to handle variable traffic without over-provisioning. This avoids paying for unused GPU capacity while still providing the necessary GPU acceleration for inference.
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 a ml.p3.16xlarge instance with 8 GPUs.
Why it's wrong here
This instance is over-provisioned and costly for a small model.
- ✗
Use a SageMaker Serverless Inference endpoint.
Why it's wrong here
Serverless Inference does not support GPU instances.
- ✗
Use a Multi-Model Endpoint on a ml.g4dn.xlarge instance.
Why it's wrong here
Multi-Model Endpoints are for hosting multiple models; a single model may not need this complexity.
- ✓
Use a ml.p3.2xlarge instance with 1 GPU and enable automatic scaling.
Why this is correct
A single GPU instance with scaling provides cost-effective real-time inference.
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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.