MLS-C01 Modeling Practice Question
A company uses Amazon SageMaker to deploy a real-time inference endpoint for a regression model. The endpoint is experiencing high latency during spikes in traffic. The data scientist needs to reduce latency while maintaining cost efficiency. Which action should the data scientist take?
⚠ Common exam trap
A common mix-up: candidates confuse automatic scaling with simply adding more resources (Option B) or assume multi-model endpoints (Option C) are a latency solution, when in fact automatic scaling is the only option that directly addresses both latency spikes and cost efficiency through dynamic instance management.
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
✓
Enable automatic scaling for the endpoint
Enabling automatic scaling for the SageMaker endpoint allows the number of instances to dynamically adjust based on traffic patterns, reducing latency during spikes by adding capacity when needed and removing it during low traffic to maintain cost efficiency. Automatic scaling uses CloudWatch metrics (e.g., InvocationsPerInstance or CPUUtilization) to trigger scale-out and scale-in policies, ensuring the endpoint can handle bursts without over-provisioning.
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 batch transform instead of real-time inference
Why it's wrong here
Batch transform is not suitable for real-time inference.
- ✗
Use a larger instance type for the endpoint
Why it's wrong here
Larger instances may reduce latency but increase cost, not cost-efficient.
- ✗
Deploy the model on a multi-model endpoint
Why it's wrong here
Multi-model endpoints reduce cost but may not reduce latency for a single model.
- ✓
Enable automatic scaling for the endpoint
Why this is correct
Automatic scaling adds instances during traffic spikes, reducing latency.
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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.