Courseiva
mediumMultiple ChoiceObjective-mapped

MLA-C01 Practice Question: Deploy a machine learning model that makes…

A company wants to deploy a machine learning model that makes real-time predictions for a mobile app. The model is a deep neural network with a large model size (500 MB). Which SageMaker endpoint configuration is most cost-effective while meeting low-latency requirements?

⚠ Common exam trap

The MLA-C01 exam often tests the misconception that multi-model endpoints are always more cost-effective for large models, but the trap here is that multi-model endpoints introduce significant latency from disk I/O for models over 100 MB, making them unsuitable for real-time inference despite lower instance costs.

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

Real-time endpoint with a single instance

A real-time endpoint with a single instance provides the lowest latency for a 500 MB deep neural network model, as it keeps the model loaded in memory and ready for inference without cold starts or multi-model overhead. This configuration is also cost-effective for consistent traffic patterns, as you pay for the instance uptime rather than per-invocation or for multiple model loads.

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

    Designed to host multiple models on one instance, not optimal for a single large model.

  • Serverless inference

    Why it's wrong here

    Serverless may introduce cold start latency and is better for intermittent traffic, not consistent low latency.

  • Real-time endpoint with a single instance

    Why this is correct

    Ensures low latency and is cost-effective for a single model with sustained traffic.

  • Batch transform

    Why it's wrong here

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

About these practice questions

Courseiva writes every MLA-C01 question from scratch — 835 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

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.