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ML Solution Monitoring, Maintenance, and SecuritymediumMultiple ChoiceObjective-mapped

MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security

A company uses SageMaker JumpStart to deploy a foundation model for a summarization task. They want to minimize costs while still meeting a latency requirement of under 2 seconds. Which option should they consider?

⚠ Common exam trap

A common misconception is that serverless endpoints are always the cheapest option, but for latency-sensitive workloads with large models, the cold-start overhead and lack of guaranteed compute resources make them unsuitable. Inference Recommender is the correct tool for cost-latency trade-off analysis.

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 Inference Recommender to select the cheapest instance that meets latency

SageMaker Inference Recommender runs load tests against your model on various instance types and provides latency and cost metrics. By selecting the cheapest instance that still meets the sub-2-second latency requirement, you directly minimize cost while satisfying the performance constraint. This is the most systematic and cost-effective approach for this scenario.

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 SageMaker Inference Recommender to select the cheapest instance that meets latency

    Why this is correct

    Inference Recommender benchmarks the model on different instances to find the optimal balance of cost and latency.

  • Deploy the model on a serverless endpoint

    Why it's wrong here

    Serverless endpoints may have cold starts and limited GPU support, potentially exceeding latency requirements.

  • Enable auto-scaling to handle variable traffic

    Why it's wrong here

    Auto-scaling manages traffic but does not directly optimize instance type cost.

  • Use the largest GPU instance to ensure fast inference

    Why it's wrong here

    Largest instance may exceed latency requirements but is not cost-effective.

About these practice questions

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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.