Question 150 of 1,000

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

This MLA-C01 practice question tests your understanding of ml solution monitoring, maintenance, and security. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

An ML team wants to monitor the cost of their SageMaker endpoints. They have observed that some endpoints are underutilized. Which AWS offering can help them reduce costs by committing to a consistent amount of usage in exchange for a lower price?

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

SageMaker Savings Plans

SageMaker Savings Plans offer a flexible pricing model where you commit to a consistent amount of compute usage (measured in dollars per hour) over a 1- or 3-year term, in exchange for a lower price compared to On-Demand rates. This directly addresses the goal of reducing costs for underutilized endpoints by allowing the team to pay a discounted rate for the baseline usage they commit to, regardless of whether the endpoint is fully utilized.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

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

  • SageMaker Savings Plans

    Why this is correct

    Savings Plans offer discounted rates in exchange for a usage commitment.

    Related concept

    Read the scenario before looking for a memorised answer.

  • SageMaker endpoint auto-scaling

    Why it's wrong here

    Auto-scaling adjusts capacity based on load but does not provide a cost discount.

  • SageMaker Managed Spot Training

    Why it's wrong here

    Spot instances are for training jobs, not real-time endpoints.

  • SageMaker Inference Recommender

    Why it's wrong here

    Inference Recommender helps right-size endpoints, not commit to usage for discounts.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse cost-saving mechanisms like auto-scaling (which reduces usage) with pricing commitments (which reduce per-unit cost), leading them to select endpoint auto-scaling instead of Savings Plans.

Detailed technical explanation

How to think about this question

SageMaker Savings Plans apply to SageMaker compute usage (e.g., ml.m5.large instances for endpoints) and are measured in dollars per hour of compute, not instance hours. Under the hood, AWS applies the Savings Plan rate to eligible usage up to the committed amount, and any usage beyond that is charged at On-Demand rates. A real-world scenario: a team with a baseline of 10 ml.m5.xlarge instances running 24/7 could commit to a 1-year Savings Plan for $0.50/hour, reducing costs by up to 30% compared to On-Demand, even if the endpoint is underutilized, as long as the committed amount covers the baseline.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this MLA-C01 question test?

ML Solution Monitoring, Maintenance, and Security — This question tests ML Solution Monitoring, Maintenance, and Security — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: SageMaker Savings Plans — SageMaker Savings Plans offer a flexible pricing model where you commit to a consistent amount of compute usage (measured in dollars per hour) over a 1- or 3-year term, in exchange for a lower price compared to On-Demand rates. This directly addresses the goal of reducing costs for underutilized endpoints by allowing the team to pay a discounted rate for the baseline usage they commit to, regardless of whether the endpoint is fully utilized.

What should I do if I get this MLA-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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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.