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MLS-C01 Modeling Practice Question

A company uses SageMaker to host a real-time inference endpoint for a classification model. The endpoint receives traffic spikes that cause high latency. The team wants a solution that automatically scales based on demand while keeping costs low. Which approach is BEST?

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 on the endpoint using Application Auto Scaling

SageMaker endpoints support automatic scaling with Application Auto Scaling based on custom metrics like 'InvocationsPerInstance' or 'SageMakerVariantInvocationsPerInstance'. Provisioned concurrency is not available for SageMaker endpoints. Spot instances are not recommended for real-time endpoints due to interruptions. Multi-model endpoints help but scaling is still needed.

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 provisioned concurrency for the endpoint

    Why it's wrong here

    Provisioned concurrency is a Lambda feature, not available for SageMaker endpoints.

  • Use a multi-model endpoint to serve multiple models

    Why it's wrong here

    Multi-model endpoints reduce cost but still need scaling to handle spikes.

  • Deploy the endpoint on Spot Instances

    Why it's wrong here

    Spot instances can be interrupted, leading to inference failures.

  • Enable automatic scaling on the endpoint using Application Auto Scaling

    Why this is correct

    Automatic scaling adjusts instance count based on demand, balancing cost and latency.

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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.