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Machine Learning Implementation and OperationsmediumMultiple SelectObjective-mapped

MLS-C01 Practice Question: Machine Learning Implementation and Operations

A company is deploying a machine learning model using Amazon SageMaker. The model needs to be updated frequently with new data. Which TWO approaches can be used to update the model without downtime? (Choose TWO.)

⚠ Common exam trap

Test-takers frequently think stopping or deleting the endpoint is acceptable for updates, but the exam emphasizes zero-downtime strategies like traffic shifting (A/B testing) and blue/green deployments, which avoid any service interruption.

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 A/B testing to gradually shift traffic to the new model variant.

Amazon SageMaker supports deploying multiple model variants behind a single endpoint using production variants. By using A/B testing (traffic shifting), you can gradually route a percentage of inference requests to the new model variant while the old variant continues serving the majority of traffic, enabling updates with zero downtime.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Delete the existing endpoint and create a new one with the updated model.

    Why it's wrong here

    Deleting the endpoint causes downtime until the new endpoint is in service.

  • Directly update the model artifact in the existing endpoint configuration.

    Why it's wrong here

    Updating the model artifact requires redeploying the endpoint, which causes downtime.

  • Use SageMaker A/B testing to gradually shift traffic to the new model variant.

    Why this is correct

    A/B testing with production variants allows traffic shifting without downtime.

  • Stop the endpoint, update the model, and restart the endpoint.

    Why it's wrong here

    Stopping the endpoint causes downtime.

  • Use a blue/green deployment by deploying the new model on a separate endpoint and then updating the DNS record.

    Why this is correct

    Blue/green deployment switches traffic to the new endpoint after it is ready, avoiding downtime.

About these practice questions

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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.