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Deployment and Orchestration of ML WorkflowsmediumMultiple ChoiceObjective-mapped

MLA-C01 Deployment and Orchestration of ML Workflows Practice Question

A company needs to serve real-time predictions from a large ensemble of three deep learning models, each requiring different inference environments (PyTorch, TensorFlow, MXNet). Which SageMaker endpoint type supports running multiple inference containers together?

⚠ Common exam trap

It's easy for candidates to confuse 'multi-model endpoint' (multiple models in one container) with 'multi-container endpoint' (multiple containers with different environments), leading them to incorrectly select Option A.

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

Multi-container endpoint

Amazon SageMaker multi-container endpoints allow you to run multiple inference containers (e.g., PyTorch, TensorFlow, MXNet) within a single endpoint, each handling different models or inference environments. This is achieved by deploying multiple containers behind a single endpoint with a serial or direct invocation pattern, enabling real-time predictions from the ensemble without managing separate endpoints.

Answer analysis

Option-by-option breakdown

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

  • Multi-model endpoint

    Why it's wrong here

    Multi-model endpoints serve multiple models within the same framework container, not different frameworks.

  • Real-time endpoint with a single container

    Why it's wrong here

    A single container cannot run multiple frameworks simultaneously.

  • Multi-container endpoint

    Why this is correct

    Multi-container endpoints support multiple inference containers, each with its own environment.

  • Asynchronous endpoint

    Why it's wrong here

    Asynchronous endpoints are for large payloads and long processing times, not for multi-container setups.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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.