MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company is using Amazon SageMaker to build a custom model. The training job is failing with a 'ResourceLimitExceeded' error. Which TWO actions should the company take to resolve this issue?
⚠ Common exam trap
It's easy for candidates to confuse a resource limit error with a performance or storage issue, leading them to choose dataset reduction or storage changes instead of addressing the actual AWS service quota.
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
✓
Request a service quota increase for SageMaker training instances.
The 'ResourceLimitExceeded' error indicates that the AWS account has reached its service quota for SageMaker training instances. Requesting a service quota increase through the AWS Service Quotas console or API allows the account to launch additional instances of the required type, directly resolving the limit issue.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Request a service quota increase for SageMaker training instances.
Why this is correct
Increases the maximum number of instances.
- ✓
Use spot instances for training.
Why this is correct
Spot instances can access additional capacity.
- ✗
Use Amazon EFS for training data.
Why it's wrong here
Storage choice doesn't affect instance limit.
- ✗
Reduce the size of the training dataset.
Why it's wrong here
Data size not related to instance limit.
- ✗
Use a smaller instance type.
Why it's wrong here
Smaller instances don't increase limit.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.