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MLS-C01 Practice Question: Machine Learning Implementation and Operations

A data scientist wants to deploy a PyTorch model for real-time inference with latency under 100 ms. Which AWS service is most suitable?

⚠ Common exam trap

Test-takers frequently confuse SageMaker Batch Transform or Lambda with real-time inference, but Batch Transform is asynchronous and Lambda has cold start overhead, neither of which guarantees sub-100 ms latency for PyTorch models.

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

Amazon SageMaker real-time endpoint

Amazon SageMaker real-time endpoints are designed for low-latency inference, typically under 100 ms, by hosting a model behind an HTTPS endpoint that auto-scales based on traffic. They support PyTorch natively via pre-built containers or custom containers, making them the most suitable choice for this requirement.

Answer analysis

Option-by-option breakdown

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

  • Amazon SageMaker real-time endpoint

    Why this is correct

    Provides low-latency inference suitable for real-time applications.

  • Amazon SageMaker Processing

    Why it's wrong here

    Processing is for data preprocessing, not inference.

  • AWS Lambda with container image

    Why it's wrong here

    Lambda has a 15-minute timeout and limited memory, not ideal for large models.

  • Amazon SageMaker Batch Transform

    Why it's wrong here

    Batch Transform is for offline predictions, not real-time.

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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.