MLS-C01 Modeling Practice Question
A company is deploying a fraud detection model using Amazon SageMaker. The model is a linear learner trained on 100 GB of data. For inference, the model receives individual transactions and must return a prediction within 100 ms. Which endpoint configuration should the team use to meet the latency requirement?
⚠ Common exam trap
It's easy for candidates to choose multi-model endpoints (Option A) thinking they reduce cost, but they overlook the cold-start latency penalty for large models, which violates the strict 100 ms requirement.
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
✓
Deploy a single model endpoint using a GPU instance and enable autoscaling.
A single-model endpoint on a GPU instance provides the low-latency, high-throughput inference required for real-time fraud detection. GPU instances accelerate linear learner inference by parallelizing matrix operations, enabling sub-100 ms predictions for individual transactions. Autoscaling ensures the endpoint can handle traffic spikes without degrading 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.
- ✗
Use a multi-model endpoint with CPU instances.
Why it's wrong here
Multi-model endpoints may have model loading latency.
- ✓
Deploy a single model endpoint using a GPU instance and enable autoscaling.
Why this is correct
GPU instance can process individual transactions fast, autoscaling handles traffic.
- ✗
Use a batch transform job scheduled every minute.
Why it's wrong here
Batch transform is not real-time.
- ✗
Deploy using SageMaker Serverless Inference.
Why it's wrong here
Serverless may have cold start latency and not guarantee 100 ms.
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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.