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MLA-C01 Practice Question: Deploying a machine learning model using…

A company is deploying a machine learning model using SageMaker hosting. They need to support multiple versions of the model for A/B testing. Which TWO actions are required to set up the A/B test? (Choose two.)

⚠ Common exam trap

Many candidates confuse shadow variants (which are for passive monitoring) with production variants (which are for active traffic splitting), leading them to select Option A instead of understanding that A/B testing requires explicit traffic routing via variant weights.

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

Configure the endpoint to route a percentage of traffic to each variant using initial variant weight

SageMaker endpoints use `initial variant weight` to distribute traffic among production variants. By setting this weight, you can route a specific percentage of inference requests to each model version, enabling A/B testing without changing the endpoint configuration.

Answer analysis

Option-by-option breakdown

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

  • Enable shadow variants to capture traffic for the new model without affecting users

    Why it's wrong here

    Shadow variants are used for canary testing, not A/B testing.

  • Set up a batch transform job to compare performance offline

    Why it's wrong here

    Batch transform is not for real-time A/B testing.

  • Configure the endpoint to route a percentage of traffic to each variant using initial variant weight

    Why this is correct

    Traffic splitting is achieved via variant weights.

  • Register both models in SageMaker Model Registry

    Why it's wrong here

    Model registry is optional; A/B testing can be done without it.

  • Create an endpoint with two production variants, each serving a different model version

    Why this is correct

    Production variants host the models.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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