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Machine Learning Implementation and OperationshardMultiple SelectObjective-mapped

MLS-C01 Practice Question: Machine Learning Implementation and Operations

This MLS-C01 practice question tests your understanding of machine learning implementation and operations. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.

Which TWO of the following are valid configurations for SageMaker Training Job resource limits? (Select TWO.)

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

Maximum number of instances

Option A is correct because SageMaker Training Jobs allow you to set a resource limit on the maximum number of instances that can be used for distributed training, which helps control costs and prevent accidental over-provisioning. Option C is correct because you can specify a maximum run time in seconds for a training job; if the job exceeds this limit, SageMaker automatically stops it, ensuring you don't incur unexpected charges.

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.

  • Maximum number of instances

    Why this is correct

    You can limit the number of instances used by the training job.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Maximum wait time in seconds

    Why it's wrong here

    There is no wait time limit; jobs start as soon as resources are available.

  • Maximum run time in seconds

    Why this is correct

    You can set a maximum run time to stop the job if it runs too long.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Minimum number of instances

    Why it's wrong here

    There is no minimum instance limit; you can use 1 instance.

  • Maximum number of spot instances

    Why it's wrong here

    Spot instance limit is set per instance type, not per training job.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse 'maximum run time' with 'maximum wait time' (a non-existent parameter) or assume that SageMaker supports minimum instance counts or separate spot instance limits, which are not part of the resource limit configuration.

Detailed technical explanation

How to think about this question

Under the hood, SageMaker Training Jobs use the `ResourceConfig` API parameter, which includes `InstanceCount` (the number of instances for the training job) and `VolumeSizeInGB`, but not a minimum instance count. The `StoppingCondition` parameter allows setting `MaxRuntimeInSeconds` (default 86400 seconds, i.e., 24 hours) to automatically stop a job; there is no equivalent 'wait time' parameter. In real-world scenarios, setting a maximum instance count prevents runaway costs when using large distributed training clusters, while the maximum run time is critical for long-running hyperparameter tuning jobs to avoid indefinite execution.

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 MLS-C01 question test?

Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Maximum number of instances — Option A is correct because SageMaker Training Jobs allow you to set a resource limit on the maximum number of instances that can be used for distributed training, which helps control costs and prevent accidental over-provisioning. Option C is correct because you can specify a maximum run time in seconds for a training job; if the job exceeds this limit, SageMaker automatically stops it, ensuring you don't incur unexpected charges.

What should I do if I get this MLS-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 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.