- A
Maximum number of instances
You can limit the number of instances used by the training job.
- B
Maximum wait time in seconds
Why wrong: There is no wait time limit; jobs start as soon as resources are available.
- C
Maximum run time in seconds
You can set a maximum run time to stop the job if it runs too long.
- D
Minimum number of instances
Why wrong: There is no minimum instance limit; you can use 1 instance.
- E
Maximum number of spot instances
Why wrong: Spot instance limit is set per instance type, not per training job.
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.
- →
Machine Learning Implementation and Operations — study guide chapter
Learn the concepts, then practise the questions
- →
Machine Learning Implementation and Operations practice questions
Targeted practice on this topic area only
- →
All MLS-C01 questions
1,755 questions across all exam domains
- →
AWS Certified Machine Learning Specialty MLS-C01 study guide
Full concept coverage aligned to exam objectives
- →
MLS-C01 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related MLS-C01 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Data Engineering practice questions
Practise MLS-C01 questions linked to Data Engineering.
Machine Learning Implementation and Operations practice questions
Practise MLS-C01 questions linked to Machine Learning Implementation and Operations.
Modeling practice questions
Practise MLS-C01 questions linked to Modeling.
Exploratory Data Analysis practice questions
Practise MLS-C01 questions linked to Exploratory Data Analysis.
MLS-C01 fundamentals practice questions
Practise MLS-C01 questions linked to MLS-C01 fundamentals.
MLS-C01 scenario practice questions
Practise MLS-C01 questions linked to MLS-C01 scenario.
MLS-C01 troubleshooting practice questions
Practise MLS-C01 questions linked to MLS-C01 troubleshooting.
Practice this exam
Start a free MLS-C01 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Keep practising
More MLS-C01 practice questions
- A company needs to transfer 10 TB of data from an on-premises data center to Amazon S3. The network bandwidth is limited…
- A company is using Amazon Kinesis Data Streams to ingest real-time clickstream data. The data is consumed by a Lambda fu…
- A team is building a data pipeline to process terabytes of log data daily using Amazon EMR. The data arrives in 5-minute…
- A data science team is building a real-time fraud detection system. Transactions are streamed via Amazon Kinesis Data St…
- A company uses Amazon SageMaker to train and deploy machine learning models. The training data is stored in Amazon S3 (P…
- A data engineering team is designing a data lake on AWS for machine learning workloads. The data includes structured, se…
Last reviewed: Jul 4, 2026
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.