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Deployment and Orchestration of ML WorkflowsmediumMultiple ChoiceObjective-mapped

MLA-C01 Deployment and Orchestration of ML Workflows Practice Question

A team uses MLflow on SageMaker for experiment tracking. They want to automatically deploy the best-performing model from an MLflow run to a SageMaker endpoint for real-time inference. What is the MOST efficient way to achieve this?

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 Pipelines with the MLflow integration to register the model and deploy via a Transform step

The MLflow Model Registry can be integrated with SageMaker via the MLflow plugin for SageMaker, which allows direct deployment from the registry to an endpoint. Alternatively, using SageMaker Pipelines with the MLflow integration is more automated and production-grade.

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 AWS Step Functions to trigger an MLflow run and then call SageMaker CreateEndpoint

    Why it's wrong here

    This is possible but less integrated than Pipelines; Step Functions would require custom glue code.

  • Use SageMaker Pipelines with the MLflow integration to register the model and deploy via a Transform step

    Why this is correct

    SageMaker Pipelines can automate the workflow: get best run from MLflow, register model, and deploy using a Transform or endpoint deployment step.

  • Set up an EventBridge rule to trigger a Lambda that deploys the model whenever a new MLflow run is logged

    Why it's wrong here

    This is event-driven but does not handle selecting the best run; it would deploy every run.

  • Manually export the model artifact from MLflow and upload to S3, then create a SageMaker model and endpoint

    Why it's wrong here

    Manual steps are not efficient and prone to error.

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Written by Johnson Ajibi, MSc IT Security

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This MLA-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 MLA-C01 exam.